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Data Analytics Product Cost Analyst at Cloudflare

Analyzes product unit economics and infrastructure costs by building financial models, partnering cross-functionally, and using automation to generate actionable insights.

Mid Hybrid Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations:

  • Austin, TX
  • San Francisco, CA
  • Denver, CO
  • Seattle, WA

Role Summary

We are looking for a Financial Analyst to join our R&D Finance team and help explain what it costs to build, deliver and scale Cloudflare’s products. You will partner with Product, Engineering, Infrastructure Finance and Pricing to turn technical resource usage and infrastructure investment into clear product unit economics and actionable financial insights.

This is a hands-on individual contributor role for someone who enjoys moving between financial models, operational data and cross-functional problem solving. You will help improve the data and processes behind our analysis, using automation and AI thoughtfully to make recurring work more reliable and scalable. As the work evolves, there is an opportunity to deepen your ownership of Developer and self-serve product economics.

Role Responsibilities

  • Build and maintain product cost models that translate compute, storage, bandwidth and AI / inference resource consumption into unit cost-to-serve, with transparent assumptions and documented methodologies.
  • Partner with Product and Engineering to evaluate new product introductions, architecture changes and shifts in resource usage; quantify cost and margin implications across connected workloads.
  • Develop and validate shared-cost allocation analyses with Infrastructure Finance and finance data partners, using relevant consumption and capacity drivers. Distinguish direct costs, shared costs and unused capacity, and reconcile product views to underlying financial totals.
  • Support Pricing with reliable cost inputs and scenario analysis for commercial decisions and quoting workflows. Translate changes in hardware generations, bandwidth rates and product architecture into updated assumptions.
  • Connect capital investment to product economics by analyzing server costs, deployment timing, useful-life and depreciation assumptions, utilization and capacity across edge, core and accelerated-computing infrastructure, in partnership with Infrastructure Finance and Accounting.
  • Contribute to capital and capacity planning through demand-versus-capacity scenarios, investment trade-offs and forecast updates. Explain how deployment timing and workload mix affect near-term costs and longer-term unit economics.
  • Produce decision-ready reporting on product costs, unit economics and relevant margin drivers. Explain actual-versus-plan changes and separate volume, mix, rate, utilization and allocation effects.
  • Improve finance data and repeatable workflows with finance programs, data and engineering partners. Help validate operational inputs, establish reconciliation checks, and automate recurring analyses to support more frequent forecasting and a faster, more reliable close.
  • Translate analysis into recommendations that technical and non-technical partners can act on, balancing detail, financial judgment and the needs of a growing product portfolio.

Role Requirements

Must-Have Skills

  • 5+ Years experience in FP&A, strategic finance, cost analysis, business analytics or a related analytical field, with evidence of building financial models and translating data into business recommendations.
  • Advanced Excel or Google Sheets skills, including the ability to build flexible, driver-based models and test assumptions through sensitivity and scenario analysis.
  • Ability to work with large or imperfect datasets, investigate discrepancies, reconcile financial and operational views, and document assumptions and controls.
  • Understanding of financial statements, cost drivers, gross margin and unit economics, with familiarity with capital expenditures and depreciation.
  • Ability to learn technical business models and connect resource usage, infrastructure capacity and product architecture to financial outcomes.
  • Strong cross-functional collaboration and clear written and verbal communication; comfortable asking questions, challenging assumptions constructively and explaining analysis to different audiences.
  • Evidence of ongoing AI skill development, including prompt and context engineering; ability to evaluate emerging tools and apply them to practical finance problems.
  • Bachelor’s degree in Finance, Accounting, Economics, a related quantitative field, or equivalent practical experience.

Nice-to-Have Skills

  • Experience with cloud infrastructure, developer platforms, usage-based businesses, product costing or shared-cost allocations.
  • Hands-on SQL skills and experience with business intelligence tools; Python or another analytical scripting language for repeatable analysis.
  • Familiarity with infrastructure and/or data-center operations and the financial drivers of capacity expansion, such as hardware, power, cooling and deployment lead times; exposure to construction or build-out economics is a plus.
  • Exposure to server or network capital planning, hardware lifecycle economics, utilization analysis or fixed-asset reporting.
  • Demonstrated ability to integrate AI tools into finance or analytical workflows—such as data preparation, reconciliation, cost-model updates or variance analysis—with measurable improvements in cycle time, accuracy or review quality.
  • Experience applying responsible AI practices to financial analysis, including assessing data-privacy and decision risks, checking for bias or misleading assumptions, validating outputs against source data, and maintaining human review and an auditable record.
  • Experience improving financial systems, allocation processes, data pipelines or forecasting workflows in a matrixed organization.
  • Familiarity with planning and enterprise systems such as Anaplan, Oracle or Workday.

Application Deadline: January 19, 2027

Compensation

Compensation may be adjusted depending on work location.

  • For San Francisco Bay Area based hires: Estimated annual salary of $126,000 - $174,000.

  • For Seattle, WA based hires: Estimated annual salary of $121,000 - $166,000.

  • For Colorado based hires: Estimated annual salary of $110,000 - $151,000.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

  • Medical/Rx Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Accounts
  • Commuter Spending Accounts
  • Fertility & Family Forming Benefits
  • On-demand mental health support and Employee Assistance Program
  • Global Travel Medical Insurance

Financial Benefits

  • Short and Long Term Disability Insurance
  • Life & Accident Insurance
  • 401(k) Retirement Savings Plan
  • Employee Stock Participation Plan

Time Off

  • Flexible paid time off covering vacation and sick leave
  • Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Read the full description
Data Analytics GTM Data Specialist, Consumption & Revenue Operations at Cloudflare

Builds consumption and revenue analytics models, reporting infrastructure, and GTM data solutions to support Cloudflare's go-to-market strategy.

Mid Remote Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: USA

About the Team

Cloudflare is changing how it grows and how it measures growth and Revenue and Consumption is becoming a core Go-To-Market (GTM) metric that shapes our GTM motions.

The Consumption Transformation Team is the design engine for that change. Working closely with GTM leaders and the Developer leadership team, we help define the metric, draft and enforce the Rules of Engagement (ROE) for Consumption, build the analytics and field reporting, and support enablement, landing, and continuous improvement. We are a partnering team and aim to work cross functionally to support our internal functions successfully in a consumption business. This is a new team, so you will be building the way we work, and we expect successful candidates to use AI every day to take on more than a team this size normally could.

About the Role

You will turn the Consumption strategy into working models, trusted data, and clear answers for the field. You will design, build, and land the targeting models, build scorecards with our cross-functional partners and Data and Analytics Leader, give Geo Ops analytics they need to run their business, and be the first stop when our field teams seek clarity on our data, reporting, and use this to improve our models.

What you’ll do

  • Design, model, and land targets: Build and evolve our target setting model, and own the methodology. Back-test them, land them with GTM leaders, and keep improving them.
  • Execute the strategy: Take direction from the Strategy Lead and turn it into working methods and recommendations, and flag early when the data says the plan should change.
  • Build scorecards: Work with our DIA and GTM Analytics teams to build and maintain scorecards with cross-functional partners covering field performance, data quality, and disputes.
  • Protect data integrity: Validate actuals, baselines, targets, revenue attribution, and account ownership against source systems such as BigQuery, and tie GTM Revenue back to Finance and Billing.
  • Support the field and apply the Rules of Engagement: Answer field questions and cases on baselines, quotas, crediting, and ownership, applying the Rules of Engagement consistently and keeping a record of each decision. Spot where a rule needs to change, and provide the account hierarchy and ownership data teams need to collaborate across geos on our most critical customers.
  • Support territory planning and partner across teams: Provide analytics to Geo Ops and central territory design so they can deliver successful territory and coverage plans with equitable distribution of opportunity and targets. Work with Finance, Billing, data engineering, IT, RevOps, and Compensation to define data needs and move manual spreadsheet work into governed data products.
  • Use AI to scale the work: Use AI tools, to write and review SQL, speed up reconciliations, draft answers to common field questions, and automate recurring checks. Review every result for accuracy and follow Cloudflare policy on confidential data.

Examples of desirable skills, knowledge and experience

  • Experience: 5 or more years in sales operations, revenue operations, business analytics, target setting or territory modelling, or data operations, ideally in a usage-based or billing-driven business
  • Modelling: You can build and back-test a quota or forecast model and explain its assumptions
  • SQL and data: Strong SQL on large datasets (BigQuery or similar), reconciling against CRM and billing data
  • Reporting: You have built scorecards or dashboards that other teams rely on
  • Controls and policy mindset: You understand why accuracy, documentation, and an audit trail matter when numbers drive pay, and you can apply a written policy such as the Rules of Engagement consistently to real cases
  • Communication: You explain technical answers clearly and calmly to sellers and managers, and work well with Geo Ops, Finance, Billing, data engineering, and IT
  • AI fluency: You already use AI assistants and agents in your daily work for analysis, coding, and documentation, check their output against the data, and can show examples of work you made faster or better with AI

Bonus points

  • Salesforce: Experience with reports, SQL, account hierarchies, and ownership rules
  • Building with AI: Experience building your own automations, agents, or prompts that handle routine analysis, reporting, or support questions

Compensation

Compensation may be adjusted depending on work location.

  • For SF, SJ, and Bay Area Metro based hires: Estimated annual salary of $138,000 - $190,000.
  • For Boston, California - Remote, Connecticut - Remote, DC Metro, Massachusetts - Remote, New Jersey - Remote, New York City, NY Metro, Remote - Washington, Washington (Kirkland), and Washington D.C. based hires: Estimated annual salary of $132,000 - $182,000.
  • For Colorado - Remote, Illinois - Remote, Maryland - Remote, Minnesota - Remote, Nevada - Remote, New York - Remote, Rhode Island - Remote, and Vermont - Remote based hires: Estimated annual base salary of $120,000 - $165,000.

CO ONLY Application Deadline: January, 17 2027

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

  • Medical/Rx Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Accounts
  • Commuter Spending Accounts
  • Fertility & Family Forming Benefits
  • On-demand mental health support and Employee Assistance Program
  • Global Travel Medical Insurance

Financial Benefits

  • Short and Long Term Disability Insurance
  • Life & Accident Insurance
  • 401(k) Retirement Savings Plan
  • Employee Stock Participation Plan

Time Off

  • Flexible paid time off covering vacation and sick leave
  • Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Read the full description
Data Analytics Senior Data Scientist, Safety Enforcement at Reddit, Inc.

Senior Data Scientist builds and optimizes detection models, rules, and systems to identify and mitigate abuse on Reddit's platform through signal discovery, labeling, thresholding, and monitoring.

Senior Remote Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you’d like.

Safety is central to Reddit’s mission and long-term health. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly.

We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. You will own one or more defined enforcement problem areas and translate ambiguous abuse risks and written policy into measurable signals, labels, detection approaches, actioning logic, and evaluation plans. You will work closely with Product, Engineering, Machine Learning, Policy, Safety Operations, Threat Intelligence, and Safety Insights partners to turn analysis into scaled mitigation.

This is a hands-on role. You will investigate adversarial behavior, prototype and evaluate models and rules, tune decision thresholds, define launch guardrails, diagnose enforcement gaps, and monitor systems after deployment. You will also help the team use modern AI methods—including language models—where they improve detection, investigations, labeling, or operational workflows, with rigorous evaluation and appropriate human oversight.

This role may involve exposure to sensitive content and participation in an incident-response on-call rotation, including occasional work outside normal hours.

Responsibilities:

  • Own the enforcement lifecycle. Lead a defined abuse or enforcement problem from problem framing and signal discovery through labels and taxonomies, model or rule development, thresholding, rollout, monitoring, and iteration.
  • Discover and characterize abuse. Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns, emerging threats, and gaps in existing mitigations.
  • Build and evaluate decision systems. Develop models, classifiers, scoring systems, rules, and analytical prototypes using the statistical, machine-learning, or GenAI methods best suited to the problem.
  • Define decision-quality standards. Create evaluation frameworks that address precision, recall, calibration, coverage, robustness, fairness, user friction, reviewer capacity, and other operational costs—not model performance in isolation.
  • Ship with engineering partners. Partner with Engineering and Safety ML to productionize promising approaches; define data and logging needs, launch guardrails, monitoring and alerting, escalation paths, and rollback criteria.
  • Translate policy into systems. Work with Policy and Safety Operations to convert written policy and product requirements into modelable targets, labels, decision rules, reviewer workflows, and measurable enforcement outcomes.
  • Measure real-world impact. Design staged rollouts, experiments, and observational analyses that test whether interventions reduce harm while managing false positives and downstream effects on users, communities, and operations.
  • Respond and learn. Support investigations and urgent escalations, identify mitigation options, conduct post-incident analyses, and turn one-time findings into durable detection or monitoring improvements.
  • Scale the team’s effectiveness. Build reusable datasets, evaluation harnesses, monitoring tools, and documentation; communicate clear recommendations to technical and non-technical partners; and mentor junior peers when opportunities arise.
  • Stay ahead of the threat landscape. Track emerging abuse tactics and advances in detection, adversarial ML, language models, synthetic data, and human-in-the-loop safety systems, and apply them pragmatically.

Required Qualifications:

  • Education & Experience: Ph.D. with 4+ years OR Master’s degree with 8+ years* of relevant industry experience in Data Science, Applied Science, Economics, or a related quantitative role (e.g., Statistics, Computer Science, Operations Research).
  • Applied experience in safety, enforcement engineering, fraud, or similar fast-paced, adversarial domains where data may be incomplete or evolving.
  • Expertise in SQL and Python to write production-grade, reusable analytical code and contribute directly to data pipelines.
  • Strong background in statistical analysis, experiment design, causal modeling, and ML techniques (e.g., classification, ranking, anomaly/pattern detection).
  • Practical knowledge of evaluating real-world decision systems, including sampling, label quality, class imbalance, precision/recall, calibration, thresholding, drift, and monitoring.
  • Proven ability to deconstruct ambiguous problems into scopable components, bias toward action, and drive impactful decisions alongside Product, Engineering, Operations, and Policy teams.
  • Exceptional communication skills with demonstrated ability to convey complex technical concepts, tradeoffs, and recommendations to both technical and non-technical stakeholders.

Preferred qualifications

  • Experience in Trust & Safety, integrity, fraud, spam and abuse, account security, cybersecurity, risk, content moderation, or another adversarial domain.
  • Experience with one or more enforcement-relevant methods such as graph or network analysis, NLP, embeddings, sequence or behavioral modeling, weak supervision, synthetic data, or human-in-the-loop evaluation.
  • Experience applying language models to detection, investigations, labeling, reviewer assistance, or workflow automation—and measuring quality, cost, latency, and safety tradeoffs.
  • Experience partnering with engineers to launch and monitor models or rules in production, including incident response and post-launch tuning.
  • Experience designing prioritization or triage systems for human review operations, including analysis of reviewer quality and capacity.
  • Experience assessing fairness, bias, privacy, and policy-aware tradeoffs in automated decision systems.

Benefits:

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

#LI-SP1

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$190,800—$267,100 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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Data Analytics Senior Statistical Analyst - Programming - Oncology (Hybrid) at AbbVie

Leads statistical programming and data analysis for oncology clinical trials, developing SAS programs for ADaM datasets and regulatory documentation while mentoring junior analysts.

Senior Hybrid Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Senior Statistical Analyst is a key role in the research and development of new pharmaceutical products. The primary responsibilities for this role include the analysis and reporting of clinical trial data and leading the statistical programming activities for clinical studies and projects with lower complexity. The Senior Statistical Analyst interfaces with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations.

Responsibilities:

Leads the statistical programming activities for projects with lower complexity.

  • Leads the statistical programming activities for studies.
  • Develop SAS programs for the creation of ADaM data sets following CDISC standards.
  • Develop SAS programs for the creation of Tables, Listings and Figures.
  • Validation of ADaM data sets, Tables, Listings and Figures.
  • Create specifications for the structure of ADaM data sets for individual studies and integrated data.
  • Create documentation for regulatory filings including reviewers guides and data definition documents
  • Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
  • Provides oversight and mentoring of assigned Statistical Programmers and Statistical Analysts.

Qualifications

Minimum Qualifications:

  • Bachelors in Statistics, Computer Science or a related field
  • 8+ years of relevant experience in quantitative analysis (or 6+ with a Masters)
  • Experience with SAS Programming
  • Experience leading programming for clinical trials

Preferred Qualifications:

  • Masters Degree in Statistics, Computer Science or related field
  • R Programming experience
  • Oncology specific experience

Other Required Skills:

  • Indepth understanding of SAS programming concepts and techniques related to drug development.
  • Fundamental understanding of CDISC Standards.
  • Fundamental understanding of the drug development process, including experience with regulatory filings.
  • Ability to communicate clearly both oral and written.
  • Ability to accurately estimate effort required for study related programming activities.

Additional Information

​Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
  • This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

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Data Analytics Senior Statistical Analyst - Programming - Oncology (Hybrid) at AbbVie

Leads statistical programming activities for oncology clinical trials, developing SAS programs for data analysis, regulatory documentation, and mentoring junior analysts.

Senior Hybrid Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Senior Statistical Analyst is a key role in the research and development of new pharmaceutical products. The primary responsibilities for this role include the analysis and reporting of clinical trial data and leading the statistical programming activities for clinical studies and projects with lower complexity. The Senior Statistical Analyst interfaces with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations.

Responsibilities:

Leads the statistical programming activities for projects with lower complexity.

  • Leads the statistical programming activities for studies.
  • Develop SAS programs for the creation of ADaM data sets following CDISC standards.
  • Develop SAS programs for the creation of Tables, Listings and Figures.
  • Validation of ADaM data sets, Tables, Listings and Figures.
  • Create specifications for the structure of ADaM data sets for individual studies and integrated data.
  • Create documentation for regulatory filings including reviewers guides and data definition documents
  • Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
  • Provides oversight and mentoring of assigned Statistical Programmers and Statistical Analysts.

Qualifications

Minimum Qualifications:

  • Bachelors in Statistics, Computer Science or a related field
  • 8+ years of relevant experience in quantitative analysis (or 6+ with a Masters)
  • Experience with SAS Programming
  • Experience leading programming for clinical trials

Preferred Qualifications:

  • Masters Degree in Statistics, Computer Science or related field
  • R Programming experience
  • Oncology specific experience

Other Required Skills:

  • Indepth understanding of SAS programming concepts and techniques related to drug development.
  • Fundamental understanding of CDISC Standards.
  • Fundamental understanding of the drug development process, including experience with regulatory filings.
  • Ability to communicate clearly both oral and written.
  • Ability to accurately estimate effort required for study related programming activities.

Additional Information

​Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
  • This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

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Data Analytics Senior Statistical Analyst - Programming - Oncology (Hybrid) at AbbVie

Leads statistical programming activities for clinical trials, develops SAS programs for data analysis and regulatory reporting, and mentors junior analysts in oncology drug development.

Senior Hybrid Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Senior Statistical Analyst is a key role in the research and development of new pharmaceutical products. The primary responsibilities for this role include the analysis and reporting of clinical trial data and leading the statistical programming activities for clinical studies and projects with lower complexity. The Senior Statistical Analyst interfaces with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations.

Responsibilities:

Leads the statistical programming activities for projects with lower complexity.

  • Leads the statistical programming activities for studies.
  • Develop SAS programs for the creation of ADaM data sets following CDISC standards.
  • Develop SAS programs for the creation of Tables, Listings and Figures.
  • Validation of ADaM data sets, Tables, Listings and Figures.
  • Create specifications for the structure of ADaM data sets for individual studies and integrated data.
  • Create documentation for regulatory filings including reviewers guides and data definition documents
  • Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
  • Provides oversight and mentoring of assigned Statistical Programmers and Statistical Analysts.

Qualifications

Minimum Qualifications:

  • Bachelors in Statistics, Computer Science or a related field
  • 8+ years of relevant experience in quantitative analysis (or 6+ with a Masters)
  • Experience with SAS Programming
  • Experience leading programming for clinical trials

Preferred Qualifications:

  • Masters Degree in Statistics, Computer Science or related field
  • R Programming experience
  • Oncology specific experience

Other Required Skills:

  • Indepth understanding of SAS programming concepts and techniques related to drug development.
  • Fundamental understanding of CDISC Standards.
  • Fundamental understanding of the drug development process, including experience with regulatory filings.
  • Ability to communicate clearly both oral and written.
  • Ability to accurately estimate effort required for study related programming activities.

Additional Information

​Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
  • This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Read the full description
Data Analytics Principal Biostatistician at pfm medical, inc.

Principal Biostatistician designs and oversees statistical analyses for clinical trials, develops SAS programs, manages study protocols, and provides biostatistical consulting across global projects.

Senior Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

Position Summary:

Job Description

Provides statistical support for all phases of clinical development. Specific responsibilities include writing and reviewing statistical sections of protocols, writing and reviewing statistical analysis plans including complex study designs, conducting statistical analyses and presenting results to project teams and sponsors, and developing SAS programs for tables, listings, figures and analysis datasets in accordance with Precision and/or sponsor procedures or study specific guidelines.

Essential functions of the job include but are not limited to:

  • Generate and/or verify randomization schedules
  • Develop and review statistical methods of the clinical study protocol including  complex study designs
  • Provide and/or verify sample size calculations. Perform or assist with advanced  calculations including adaptive design
  • Provide input into development of case report forms (CRFs)
  • Author statistical analysis plans, including development of table, figure and listing  shells, complex study design and late phase
  • Review statistical analysis plans written by other biostatisticians
  • Generate analysis datasets, tables, figures, and listings to support the analysis of  clinical trials data using SAS
  • Perform quality control for statistical based SAS programs and other study documents (e.g., presentations and reports)
  • Provide or supervise programming and statistical support to supplemental or exploratory analyses for regulatory agencies or any other internal and external ad-hoc requests
  • Ability to serve as a biostatistical consultant to company staff globally, with  understanding of varying regional perspectives
  • Review output across programs to ensure consistency.
  • Provide statistical analysis and reports to Data Monitoring Committees (DMCs) as the unblinded biostatistician
  • Review statistical sections of clinical study reports
  • Work directly with sponsors, project managers, and external vendors on statistics related project components. Interact directly with study team
  • Interact directly with sponsors
  • Lead all statistical activities for study within timelines
  • Independently perform budget health review on projects and review monthly invoices
  • Perform oversight responsibilities on projects for other biostatisticians
  • Assist with budget development and present at bid defense meetings
  • Participate in the development and maintenance of departmental procedures and  standards (templates, SOPs, WIs etc.)
  • Review study tasks to ensure study being conducted in line with agreed budget;  identify change in scope
  • Other duties as assigned

Qualifications:

Minimum Required:

  • Master’s degree or equivalent in Statistics, Biostatistics, or related field with 10+ years experience; PhD degree in Statistics, Biostatistics, or related field with 7+ years experience

Other Required:

  • Experience with SAS
  • Knowledge of industry standards such as the ICH guidelines, CDISC data structures, 21 CFR Part 11, and FDA guidelines
  • Broad knowledge and superior understanding of advanced statistical concepts and techniques

Preferred:

  • Experience with Oncology and rare diseases
  • Broad experience with late phase and/or submissions
  • Experience in consulting with clients on study design
  • Superior understanding of a specific therapeutic area and/or statistical methodology  (eg, adaptive design, missing data)

Skills:

  • Mastery of statistical principles underlying clinical trials
  • Mastery of SAS programming skills and familiarity with other packages
  • Outstanding statistical skills
  • Excellent consultative skills
  • Excellent organizational skills, time management, and ability to coordinate workload and meet established deadlines.
  • Excellent communication and interpersonal skills to effectively interface with others.
  • Excellent problem-solving skills
  • Excellent presentation skills

Competencies:

  • Sound judgment/decision making
  • Ability to establish and teach others to maintain effective working relationships with coworkers, managers and clients
  • Service oriented, accountable and flexible
  • Competency in written and spoken English
  • Follow and train others on applicable regulations, including FDA, ICH, and Precision Policies and Procedures

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.

Recruitment Fraud Warning: Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at myHR@precisionmedicinegrp.com so we can investigate and take appropriate action.

Candidates must be legally authorized to work in the country of employment without employer sponsorship.

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Data Analytics Principal Biostatistician at Precision Medicine Group

Principal biostatistician leads statistical analysis for clinical trials, develops SAS programs, writes analysis plans, and oversees biostatistical activities across multiple studies.

Lead Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

Position Summary:

Job Description

Provides statistical support for all phases of clinical development. Specific responsibilities include writing and reviewing statistical sections of protocols, writing and reviewing statistical analysis plans including complex study designs, conducting statistical analyses and presenting results to project teams and sponsors, and developing SAS programs for tables, listings, figures and analysis datasets in accordance with Precision and/or sponsor procedures or study specific guidelines.

Essential functions of the job include but are not limited to:

  • Generate and/or verify randomization schedules
  • Develop and review statistical methods of the clinical study protocol including  complex study designs
  • Provide and/or verify sample size calculations. Perform or assist with advanced  calculations including adaptive design
  • Provide input into development of case report forms (CRFs)
  • Author statistical analysis plans, including development of table, figure and listing  shells, complex study design and late phase
  • Review statistical analysis plans written by other biostatisticians
  • Generate analysis datasets, tables, figures, and listings to support the analysis of  clinical trials data using SAS
  • Perform quality control for statistical based SAS programs and other study documents (e.g., presentations and reports)
  • Provide or supervise programming and statistical support to supplemental or exploratory analyses for regulatory agencies or any other internal and external ad-hoc requests
  • Ability to serve as a biostatistical consultant to company staff globally, with  understanding of varying regional perspectives
  • Review output across programs to ensure consistency.
  • Provide statistical analysis and reports to Data Monitoring Committees (DMCs) as the unblinded biostatistician
  • Review statistical sections of clinical study reports
  • Work directly with sponsors, project managers, and external vendors on statistics related project components. Interact directly with study team
  • Interact directly with sponsors
  • Lead all statistical activities for study within timelines
  • Independently perform budget health review on projects and review monthly invoices
  • Perform oversight responsibilities on projects for other biostatisticians
  • Assist with budget development and present at bid defense meetings
  • Participate in the development and maintenance of departmental procedures and  standards (templates, SOPs, WIs etc.)
  • Review study tasks to ensure study being conducted in line with agreed budget;  identify change in scope
  • Other duties as assigned

Qualifications:

Minimum Required:

  • Master’s degree or equivalent in Statistics, Biostatistics, or related field with 10+ years experience; PhD degree in Statistics, Biostatistics, or related field with 7+ years experience

Other Required:

  • Experience with SAS
  • Knowledge of industry standards such as the ICH guidelines, CDISC data structures, 21 CFR Part 11, and FDA guidelines
  • Broad knowledge and superior understanding of advanced statistical concepts and techniques

Preferred:

  • Experience with Oncology and rare diseases
  • Broad experience with late phase and/or submissions
  • Experience in consulting with clients on study design
  • Superior understanding of a specific therapeutic area and/or statistical methodology  (eg, adaptive design, missing data)

Skills:

  • Mastery of statistical principles underlying clinical trials
  • Mastery of SAS programming skills and familiarity with other packages
  • Outstanding statistical skills
  • Excellent consultative skills
  • Excellent organizational skills, time management, and ability to coordinate workload and meet established deadlines.
  • Excellent communication and interpersonal skills to effectively interface with others.
  • Excellent problem-solving skills
  • Excellent presentation skills

Competencies:

  • Sound judgment/decision making
  • Ability to establish and teach others to maintain effective working relationships with coworkers, managers and clients
  • Service oriented, accountable and flexible
  • Competency in written and spoken English
  • Follow and train others on applicable regulations, including FDA, ICH, and Precision Policies and Procedures

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.

Recruitment Fraud Warning: Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at myHR@precisionmedicinegrp.com so we can investigate and take appropriate action.

Candidates must be legally authorized to work in the country of employment without employer sponsorship.

Read the full description
Data Analytics GTM Data Specialist, Consumption & Revenue Operations at Cloudflare

Transforms consumption and revenue strategy into analytics models, dashboards, and reporting that drive GTM decisions across the organization.

Mid Remote Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: USA

About the Team

Cloudflare is changing how it grows and how it measures growth and Revenue and Consumption is becoming a core Go-To-Market (GTM) metric that shapes our GTM motions.

The Consumption Transformation Team is the design engine for that change. Working closely with GTM leaders and the Developer leadership team, we help define the metric, draft and enforce the Rules of Engagement (ROE) for Consumption, build the analytics and field reporting, and support enablement, landing, and continuous improvement. We are a partnering team and aim to work cross functionally to support our internal functions successfully in a consumption business. This is a new team, so you will be building the way we work, and we expect successful candidates to use AI every day to take on more than a team this size normally could.

About the Role

You will turn the Consumption strategy into working models, trusted data, and clear answers for the field. You will design, build, and land the targeting models, build scorecards with our cross-functional partners and Data and Analytics Leader, give Geo Ops analytics they need to run their business, and be the first stop when our field teams seek clarity on our data, reporting, and use this to improve our models.

What you’ll do

  • Design, model, and land targets: Build and evolve our target setting model, and own the methodology. Back-test them, land them with GTM leaders, and keep improving them.
  • Execute the strategy: Take direction from the Strategy Lead and turn it into working methods and recommendations, and flag early when the data says the plan should change.
  • Build scorecards: Work with our DIA and GTM Analytics teams to build and maintain scorecards with cross-functional partners covering field performance, data quality, and disputes.
  • Protect data integrity: Validate actuals, baselines, targets, revenue attribution, and account ownership against source systems such as BigQuery, and tie GTM Revenue back to Finance and Billing.
  • Support the field and apply the Rules of Engagement: Answer field questions and cases on baselines, quotas, crediting, and ownership, applying the Rules of Engagement consistently and keeping a record of each decision. Spot where a rule needs to change, and provide the account hierarchy and ownership data teams need to collaborate across geos on our most critical customers.
  • Support territory planning and partner across teams: Provide analytics to Geo Ops and central territory design so they can deliver successful territory and coverage plans with equitable distribution of opportunity and targets. Work with Finance, Billing, data engineering, IT, RevOps, and Compensation to define data needs and move manual spreadsheet work into governed data products.
  • Use AI to scale the work: Use AI tools, to write and review SQL, speed up reconciliations, draft answers to common field questions, and automate recurring checks. Review every result for accuracy and follow Cloudflare policy on confidential data.

Examples of desirable skills, knowledge and experience

  • Experience: 5 or more years in sales operations, revenue operations, business analytics, target setting or territory modelling, or data operations, ideally in a usage-based or billing-driven business
  • Modelling: You can build and back-test a quota or forecast model and explain its assumptions
  • SQL and data: Strong SQL on large datasets (BigQuery or similar), reconciling against CRM and billing data
  • Reporting: You have built scorecards or dashboards that other teams rely on
  • Controls and policy mindset: You understand why accuracy, documentation, and an audit trail matter when numbers drive pay, and you can apply a written policy such as the Rules of Engagement consistently to real cases
  • Communication: You explain technical answers clearly and calmly to sellers and managers, and work well with Geo Ops, Finance, Billing, data engineering, and IT
  • AI fluency: You already use AI assistants and agents in your daily work for analysis, coding, and documentation, check their output against the data, and can show examples of work you made faster or better with AI

Bonus points

  • Salesforce: Experience with reports, SQL, account hierarchies, and ownership rules
  • Building with AI: Experience building your own automations, agents, or prompts that handle routine analysis, reporting, or support questions

Compensation

Compensation may be adjusted depending on work location.

  • For SF, SJ, and Bay Area Metro based hires: Estimated annual salary of $138,000 - $190,000.
  • For Boston, California - Remote, Connecticut - Remote, DC Metro, Massachusetts - Remote, New Jersey - Remote, New York City, NY Metro, Remote - Washington, Washington (Kirkland), and Washington D.C. based hires: Estimated annual salary of $132,000 - $182,000.
  • For Colorado - Remote, Illinois - Remote, Maryland - Remote, Minnesota - Remote, Nevada - Remote, New York - Remote, Rhode Island - Remote, and Vermont - Remote based hires: Estimated annual base salary of $120,000 - $165,000.

CO ONLY Application Deadline: January, 17 2027

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

  • Medical/Rx Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Accounts
  • Commuter Spending Accounts
  • Fertility & Family Forming Benefits
  • On-demand mental health support and Employee Assistance Program
  • Global Travel Medical Insurance

Financial Benefits

  • Short and Long Term Disability Insurance
  • Life & Accident Insurance
  • 401(k) Retirement Savings Plan
  • Employee Stock Participation Plan

Time Off

  • Flexible paid time off covering vacation and sick leave
  • Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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Data Analytics Senior Data Scientist, Safety Enforcement at Reddit, Inc.

Senior Data Scientist builds and optimizes detection models, rules, and systems to identify and mitigate abuse on Reddit's platform, working across enforcement lifecycle from signal discovery to monitoring.

Senior Remote Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you’d like.

Safety is central to Reddit’s mission and long-term health. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly.

We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. You will own one or more defined enforcement problem areas and translate ambiguous abuse risks and written policy into measurable signals, labels, detection approaches, actioning logic, and evaluation plans. You will work closely with Product, Engineering, Machine Learning, Policy, Safety Operations, Threat Intelligence, and Safety Insights partners to turn analysis into scaled mitigation.

This is a hands-on role. You will investigate adversarial behavior, prototype and evaluate models and rules, tune decision thresholds, define launch guardrails, diagnose enforcement gaps, and monitor systems after deployment. You will also help the team use modern AI methods—including language models—where they improve detection, investigations, labeling, or operational workflows, with rigorous evaluation and appropriate human oversight.

This role may involve exposure to sensitive content and participation in an incident-response on-call rotation, including occasional work outside normal hours.

Responsibilities:

  • Own the enforcement lifecycle. Lead a defined abuse or enforcement problem from problem framing and signal discovery through labels and taxonomies, model or rule development, thresholding, rollout, monitoring, and iteration.
  • Discover and characterize abuse. Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns, emerging threats, and gaps in existing mitigations.
  • Build and evaluate decision systems. Develop models, classifiers, scoring systems, rules, and analytical prototypes using the statistical, machine-learning, or GenAI methods best suited to the problem.
  • Define decision-quality standards. Create evaluation frameworks that address precision, recall, calibration, coverage, robustness, fairness, user friction, reviewer capacity, and other operational costs—not model performance in isolation.
  • Ship with engineering partners. Partner with Engineering and Safety ML to productionize promising approaches; define data and logging needs, launch guardrails, monitoring and alerting, escalation paths, and rollback criteria.
  • Translate policy into systems. Work with Policy and Safety Operations to convert written policy and product requirements into modelable targets, labels, decision rules, reviewer workflows, and measurable enforcement outcomes.
  • Measure real-world impact. Design staged rollouts, experiments, and observational analyses that test whether interventions reduce harm while managing false positives and downstream effects on users, communities, and operations.
  • Respond and learn. Support investigations and urgent escalations, identify mitigation options, conduct post-incident analyses, and turn one-time findings into durable detection or monitoring improvements.
  • Scale the team’s effectiveness. Build reusable datasets, evaluation harnesses, monitoring tools, and documentation; communicate clear recommendations to technical and non-technical partners; and mentor junior peers when opportunities arise.
  • Stay ahead of the threat landscape. Track emerging abuse tactics and advances in detection, adversarial ML, language models, synthetic data, and human-in-the-loop safety systems, and apply them pragmatically.

Required Qualifications:

  • Education & Experience: Ph.D. with 4+ years OR Master’s degree with 8+ years* of relevant industry experience in Data Science, Applied Science, Economics, or a related quantitative role (e.g., Statistics, Computer Science, Operations Research).
  • Applied experience in safety, enforcement engineering, fraud, or similar fast-paced, adversarial domains where data may be incomplete or evolving.
  • Expertise in SQL and Python to write production-grade, reusable analytical code and contribute directly to data pipelines.
  • Strong background in statistical analysis, experiment design, causal modeling, and ML techniques (e.g., classification, ranking, anomaly/pattern detection).
  • Practical knowledge of evaluating real-world decision systems, including sampling, label quality, class imbalance, precision/recall, calibration, thresholding, drift, and monitoring.
  • Proven ability to deconstruct ambiguous problems into scopable components, bias toward action, and drive impactful decisions alongside Product, Engineering, Operations, and Policy teams.
  • Exceptional communication skills with demonstrated ability to convey complex technical concepts, tradeoffs, and recommendations to both technical and non-technical stakeholders.

Preferred qualifications

  • Experience in Trust & Safety, integrity, fraud, spam and abuse, account security, cybersecurity, risk, content moderation, or another adversarial domain.
  • Experience with one or more enforcement-relevant methods such as graph or network analysis, NLP, embeddings, sequence or behavioral modeling, weak supervision, synthetic data, or human-in-the-loop evaluation.
  • Experience applying language models to detection, investigations, labeling, reviewer assistance, or workflow automation—and measuring quality, cost, latency, and safety tradeoffs.
  • Experience partnering with engineers to launch and monitor models or rules in production, including incident response and post-launch tuning.
  • Experience designing prioritization or triage systems for human review operations, including analysis of reviewer quality and capacity.
  • Experience assessing fairness, bias, privacy, and policy-aware tradeoffs in automated decision systems.

Benefits:

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

#LI-SP1

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$190,800—$267,100 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Read the full description
Data Analytics Product Cost Analyst at Cloudflare

Builds and maintains product cost models, analyzes infrastructure costs and resource usage to derive product unit economics and financial insights for cross-functional teams.

Mid Hybrid Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations:

  • Austin, TX
  • San Francisco, CA
  • Denver, CO
  • Seattle, WA

Role Summary

We are looking for a Financial Analyst to join our R&D Finance team and help explain what it costs to build, deliver and scale Cloudflare’s products. You will partner with Product, Engineering, Infrastructure Finance and Pricing to turn technical resource usage and infrastructure investment into clear product unit economics and actionable financial insights.

This is a hands-on individual contributor role for someone who enjoys moving between financial models, operational data and cross-functional problem solving. You will help improve the data and processes behind our analysis, using automation and AI thoughtfully to make recurring work more reliable and scalable. As the work evolves, there is an opportunity to deepen your ownership of Developer and self-serve product economics.

Role Responsibilities

  • Build and maintain product cost models that translate compute, storage, bandwidth and AI / inference resource consumption into unit cost-to-serve, with transparent assumptions and documented methodologies.
  • Partner with Product and Engineering to evaluate new product introductions, architecture changes and shifts in resource usage; quantify cost and margin implications across connected workloads.
  • Develop and validate shared-cost allocation analyses with Infrastructure Finance and finance data partners, using relevant consumption and capacity drivers. Distinguish direct costs, shared costs and unused capacity, and reconcile product views to underlying financial totals.
  • Support Pricing with reliable cost inputs and scenario analysis for commercial decisions and quoting workflows. Translate changes in hardware generations, bandwidth rates and product architecture into updated assumptions.
  • Connect capital investment to product economics by analyzing server costs, deployment timing, useful-life and depreciation assumptions, utilization and capacity across edge, core and accelerated-computing infrastructure, in partnership with Infrastructure Finance and Accounting.
  • Contribute to capital and capacity planning through demand-versus-capacity scenarios, investment trade-offs and forecast updates. Explain how deployment timing and workload mix affect near-term costs and longer-term unit economics.
  • Produce decision-ready reporting on product costs, unit economics and relevant margin drivers. Explain actual-versus-plan changes and separate volume, mix, rate, utilization and allocation effects.
  • Improve finance data and repeatable workflows with finance programs, data and engineering partners. Help validate operational inputs, establish reconciliation checks, and automate recurring analyses to support more frequent forecasting and a faster, more reliable close.
  • Translate analysis into recommendations that technical and non-technical partners can act on, balancing detail, financial judgment and the needs of a growing product portfolio.

Role Requirements

Must-Have Skills

  • 5+ Years experience in FP&A, strategic finance, cost analysis, business analytics or a related analytical field, with evidence of building financial models and translating data into business recommendations.
  • Advanced Excel or Google Sheets skills, including the ability to build flexible, driver-based models and test assumptions through sensitivity and scenario analysis.
  • Ability to work with large or imperfect datasets, investigate discrepancies, reconcile financial and operational views, and document assumptions and controls.
  • Understanding of financial statements, cost drivers, gross margin and unit economics, with familiarity with capital expenditures and depreciation.
  • Ability to learn technical business models and connect resource usage, infrastructure capacity and product architecture to financial outcomes.
  • Strong cross-functional collaboration and clear written and verbal communication; comfortable asking questions, challenging assumptions constructively and explaining analysis to different audiences.
  • Evidence of ongoing AI skill development, including prompt and context engineering; ability to evaluate emerging tools and apply them to practical finance problems.
  • Bachelor’s degree in Finance, Accounting, Economics, a related quantitative field, or equivalent practical experience.

Nice-to-Have Skills

  • Experience with cloud infrastructure, developer platforms, usage-based businesses, product costing or shared-cost allocations.
  • Hands-on SQL skills and experience with business intelligence tools; Python or another analytical scripting language for repeatable analysis.
  • Familiarity with infrastructure and/or data-center operations and the financial drivers of capacity expansion, such as hardware, power, cooling and deployment lead times; exposure to construction or build-out economics is a plus.
  • Exposure to server or network capital planning, hardware lifecycle economics, utilization analysis or fixed-asset reporting.
  • Demonstrated ability to integrate AI tools into finance or analytical workflows—such as data preparation, reconciliation, cost-model updates or variance analysis—with measurable improvements in cycle time, accuracy or review quality.
  • Experience applying responsible AI practices to financial analysis, including assessing data-privacy and decision risks, checking for bias or misleading assumptions, validating outputs against source data, and maintaining human review and an auditable record.
  • Experience improving financial systems, allocation processes, data pipelines or forecasting workflows in a matrixed organization.
  • Familiarity with planning and enterprise systems such as Anaplan, Oracle or Workday.

Application Deadline: January 19, 2027

Compensation

Compensation may be adjusted depending on work location.

  • For San Francisco Bay Area based hires: Estimated annual salary of $126,000 - $174,000.

  • For Seattle, WA based hires: Estimated annual salary of $121,000 - $166,000.

  • For Colorado based hires: Estimated annual salary of $110,000 - $151,000.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

  • Medical/Rx Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Accounts
  • Commuter Spending Accounts
  • Fertility & Family Forming Benefits
  • On-demand mental health support and Employee Assistance Program
  • Global Travel Medical Insurance

Financial Benefits

  • Short and Long Term Disability Insurance
  • Life & Accident Insurance
  • 401(k) Retirement Savings Plan
  • Employee Stock Participation Plan

Time Off

  • Flexible paid time off covering vacation and sick leave
  • Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Read the full description
Data Analytics GTM Data Specialist, Consumption & Revenue Operations at Cloudflare

Builds consumption and revenue analytics models, creates GTM reporting dashboards, and partners cross-functionally to define metrics that drive go-to-market strategy.

Mid Remote Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: USA

About the Team

Cloudflare is changing how it grows and how it measures growth and Revenue and Consumption is becoming a core Go-To-Market (GTM) metric that shapes our GTM motions.

The Consumption Transformation Team is the design engine for that change. Working closely with GTM leaders and the Developer leadership team, we help define the metric, draft and enforce the Rules of Engagement (ROE) for Consumption, build the analytics and field reporting, and support enablement, landing, and continuous improvement. We are a partnering team and aim to work cross functionally to support our internal functions successfully in a consumption business. This is a new team, so you will be building the way we work, and we expect successful candidates to use AI every day to take on more than a team this size normally could.

About the Role

You will turn the Consumption strategy into working models, trusted data, and clear answers for the field. You will design, build, and land the targeting models, build scorecards with our cross-functional partners and Data and Analytics Leader, give Geo Ops analytics they need to run their business, and be the first stop when our field teams seek clarity on our data, reporting, and use this to improve our models.

What you’ll do

  • Design, model, and land targets: Build and evolve our target setting model, and own the methodology. Back-test them, land them with GTM leaders, and keep improving them.
  • Execute the strategy: Take direction from the Strategy Lead and turn it into working methods and recommendations, and flag early when the data says the plan should change.
  • Build scorecards: Work with our DIA and GTM Analytics teams to build and maintain scorecards with cross-functional partners covering field performance, data quality, and disputes.
  • Protect data integrity: Validate actuals, baselines, targets, revenue attribution, and account ownership against source systems such as BigQuery, and tie GTM Revenue back to Finance and Billing.
  • Support the field and apply the Rules of Engagement: Answer field questions and cases on baselines, quotas, crediting, and ownership, applying the Rules of Engagement consistently and keeping a record of each decision. Spot where a rule needs to change, and provide the account hierarchy and ownership data teams need to collaborate across geos on our most critical customers.
  • Support territory planning and partner across teams: Provide analytics to Geo Ops and central territory design so they can deliver successful territory and coverage plans with equitable distribution of opportunity and targets. Work with Finance, Billing, data engineering, IT, RevOps, and Compensation to define data needs and move manual spreadsheet work into governed data products.
  • Use AI to scale the work: Use AI tools, to write and review SQL, speed up reconciliations, draft answers to common field questions, and automate recurring checks. Review every result for accuracy and follow Cloudflare policy on confidential data.

Examples of desirable skills, knowledge and experience

  • Experience: 5 or more years in sales operations, revenue operations, business analytics, target setting or territory modelling, or data operations, ideally in a usage-based or billing-driven business
  • Modelling: You can build and back-test a quota or forecast model and explain its assumptions
  • SQL and data: Strong SQL on large datasets (BigQuery or similar), reconciling against CRM and billing data
  • Reporting: You have built scorecards or dashboards that other teams rely on
  • Controls and policy mindset: You understand why accuracy, documentation, and an audit trail matter when numbers drive pay, and you can apply a written policy such as the Rules of Engagement consistently to real cases
  • Communication: You explain technical answers clearly and calmly to sellers and managers, and work well with Geo Ops, Finance, Billing, data engineering, and IT
  • AI fluency: You already use AI assistants and agents in your daily work for analysis, coding, and documentation, check their output against the data, and can show examples of work you made faster or better with AI

Bonus points

  • Salesforce: Experience with reports, SQL, account hierarchies, and ownership rules
  • Building with AI: Experience building your own automations, agents, or prompts that handle routine analysis, reporting, or support questions

Compensation

Compensation may be adjusted depending on work location.

  • For SF, SJ, and Bay Area Metro based hires: Estimated annual salary of $138,000 - $190,000.
  • For Boston, California - Remote, Connecticut - Remote, DC Metro, Massachusetts - Remote, New Jersey - Remote, New York City, NY Metro, Remote - Washington, Washington (Kirkland), and Washington D.C. based hires: Estimated annual salary of $132,000 - $182,000.
  • For Colorado - Remote, Illinois - Remote, Maryland - Remote, Minnesota - Remote, Nevada - Remote, New York - Remote, Rhode Island - Remote, and Vermont - Remote based hires: Estimated annual base salary of $120,000 - $165,000.

CO ONLY Application Deadline: January, 17 2027

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

  • Medical/Rx Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Accounts
  • Commuter Spending Accounts
  • Fertility & Family Forming Benefits
  • On-demand mental health support and Employee Assistance Program
  • Global Travel Medical Insurance

Financial Benefits

  • Short and Long Term Disability Insurance
  • Life & Accident Insurance
  • 401(k) Retirement Savings Plan
  • Employee Stock Participation Plan

Time Off

  • Flexible paid time off covering vacation and sick leave
  • Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Read the full description
Data Analytics Senior Data Scientist, Safety Enforcement at Reddit, Inc.

Senior Data Scientist builds and optimizes detection models, rules, and systems to identify and mitigate abuse on Reddit's platform while working with cross-functional teams.

Senior Remote Posted about 16 hours ago RemoteFirstJobs Product
What this role involves

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you’d like.

Safety is central to Reddit’s mission and long-term health. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly.

We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. You will own one or more defined enforcement problem areas and translate ambiguous abuse risks and written policy into measurable signals, labels, detection approaches, actioning logic, and evaluation plans. You will work closely with Product, Engineering, Machine Learning, Policy, Safety Operations, Threat Intelligence, and Safety Insights partners to turn analysis into scaled mitigation.

This is a hands-on role. You will investigate adversarial behavior, prototype and evaluate models and rules, tune decision thresholds, define launch guardrails, diagnose enforcement gaps, and monitor systems after deployment. You will also help the team use modern AI methods—including language models—where they improve detection, investigations, labeling, or operational workflows, with rigorous evaluation and appropriate human oversight.

This role may involve exposure to sensitive content and participation in an incident-response on-call rotation, including occasional work outside normal hours.

Responsibilities:

  • Own the enforcement lifecycle. Lead a defined abuse or enforcement problem from problem framing and signal discovery through labels and taxonomies, model or rule development, thresholding, rollout, monitoring, and iteration.
  • Discover and characterize abuse. Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns, emerging threats, and gaps in existing mitigations.
  • Build and evaluate decision systems. Develop models, classifiers, scoring systems, rules, and analytical prototypes using the statistical, machine-learning, or GenAI methods best suited to the problem.
  • Define decision-quality standards. Create evaluation frameworks that address precision, recall, calibration, coverage, robustness, fairness, user friction, reviewer capacity, and other operational costs—not model performance in isolation.
  • Ship with engineering partners. Partner with Engineering and Safety ML to productionize promising approaches; define data and logging needs, launch guardrails, monitoring and alerting, escalation paths, and rollback criteria.
  • Translate policy into systems. Work with Policy and Safety Operations to convert written policy and product requirements into modelable targets, labels, decision rules, reviewer workflows, and measurable enforcement outcomes.
  • Measure real-world impact. Design staged rollouts, experiments, and observational analyses that test whether interventions reduce harm while managing false positives and downstream effects on users, communities, and operations.
  • Respond and learn. Support investigations and urgent escalations, identify mitigation options, conduct post-incident analyses, and turn one-time findings into durable detection or monitoring improvements.
  • Scale the team’s effectiveness. Build reusable datasets, evaluation harnesses, monitoring tools, and documentation; communicate clear recommendations to technical and non-technical partners; and mentor junior peers when opportunities arise.
  • Stay ahead of the threat landscape. Track emerging abuse tactics and advances in detection, adversarial ML, language models, synthetic data, and human-in-the-loop safety systems, and apply them pragmatically.

Required Qualifications:

  • Education & Experience: Ph.D. with 4+ years OR Master’s degree with 8+ years* of relevant industry experience in Data Science, Applied Science, Economics, or a related quantitative role (e.g., Statistics, Computer Science, Operations Research).
  • Applied experience in safety, enforcement engineering, fraud, or similar fast-paced, adversarial domains where data may be incomplete or evolving.
  • Expertise in SQL and Python to write production-grade, reusable analytical code and contribute directly to data pipelines.
  • Strong background in statistical analysis, experiment design, causal modeling, and ML techniques (e.g., classification, ranking, anomaly/pattern detection).
  • Practical knowledge of evaluating real-world decision systems, including sampling, label quality, class imbalance, precision/recall, calibration, thresholding, drift, and monitoring.
  • Proven ability to deconstruct ambiguous problems into scopable components, bias toward action, and drive impactful decisions alongside Product, Engineering, Operations, and Policy teams.
  • Exceptional communication skills with demonstrated ability to convey complex technical concepts, tradeoffs, and recommendations to both technical and non-technical stakeholders.

Preferred qualifications

  • Experience in Trust & Safety, integrity, fraud, spam and abuse, account security, cybersecurity, risk, content moderation, or another adversarial domain.
  • Experience with one or more enforcement-relevant methods such as graph or network analysis, NLP, embeddings, sequence or behavioral modeling, weak supervision, synthetic data, or human-in-the-loop evaluation.
  • Experience applying language models to detection, investigations, labeling, reviewer assistance, or workflow automation—and measuring quality, cost, latency, and safety tradeoffs.
  • Experience partnering with engineers to launch and monitor models or rules in production, including incident response and post-launch tuning.
  • Experience designing prioritization or triage systems for human review operations, including analysis of reviewer quality and capacity.
  • Experience assessing fairness, bias, privacy, and policy-aware tradeoffs in automated decision systems.

Benefits:

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

#LI-SP1

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$190,800—$267,100 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Read the full description
Data Analytics Senior Analyst, GTM, Verticals, and Performance

Analyzes go-to-market performance, vertical strategies, and marketing metrics to drive business growth and optimization decisions.

Senior Posted about 19 hours ago Jobicy AI
What this role involves
StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly...
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Data Analytics Data Analytics & Revenue Reporting Specialist

Analyzes data and creates revenue reports to support business performance tracking and financial insights.

Mid Posted 1 day ago Jobicy AI
What this role involves
Company Overview LevelUp is a specialist agency that provides outsourcing solutions to agencies, software vendors, and website owners. For over seven years, we have successfully collaborated with a variety of...
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Data Analytics Operations Analyst

Analyzes operational metrics and business data to optimize cloud services delivery and organizational processes.

Posted 1 day ago Jobicy AI
What this role involves
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s...
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Data Analytics Senior Product Analyst

Analyzes product data and metrics to drive insights and inform product decisions at an AI-native fintech company.

Senior Posted 1 day ago Jobicy AI
What this role involves
About Tala Tala is the AI-native credit infrastructure that connects global capital to the global majority. We combine proprietary risk intelligence with an expanding network of capital and distribution partners...
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Data Analytics Director, Data Quality & Integrity (Provider Network Operations)

Designs and implements master data management solutions while overseeing data quality and integrity processes across provider networks.

Lead Posted 1 day ago Himalayas
What this role involves
Become a part of our caring community The Director, Data Quality/Integrity understands end-to-end master data processes and flows and uses that knowledge to design and implement master data management solutions.
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Data Analytics Principal Data Scientist, User Ecosystem at Reddit, Inc.

Principal data scientist defines measurement, modeling, and experimentation strategy for Reddit's user ecosystem and consumer engagement.

Lead Posted 1 day ago RemoteFirstJobs Product
What this role involves

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is a complex consumer ecosystem where users, content, communities, and conversations interact over time. We are looking for a very senior data science thought leader to shape how Reddit understands and improves that ecosystem for the user / consumer flywheel.

This role will define the measurement, modeling, and experimentation strategy for major Consumer questions: how users discover value, form habits, and deepen engagement; how we understand and serve user intent; how content and communities evolve; and how our systems create durable value for users, contributors, communities, and Reddit.

The ideal candidate will bring deep expertise in one or more areas of consumer science, such as:

  • Recommender systems and information retrieval
  • User modeling, personalization, lifecycle, LTV, or optimization
  • Content, community, or ecosystem modeling
  • Knowledge graphs and representations of users, content, and communities
  • Causal inference, experimentation, and long-term consumer measurement

You will partner with leaders across Product, Engineering, Research, and Community to turn ambiguous consumer problems into clear scientific questions, durable analytical systems, and decisions that improve Reddit at scale.

What you’ll do

  • Set the scientific direction for high-impact Consumer problems spanning discovery, relevance, personalization, user growth, retention, content, and communities.
  • Build a durable understanding of users, their intent, their needs, and the behaviors that lead to lasting value
  • Develop models and frameworks that represent users, content, communities, and their relationships over time for use in systems that operate at scale
  • Determine how to measure consumer and ecosystem health when objectives compete and short-term engagement may differ from long-term value.
  • Set learning agendas and steer experimentation strategy to distinguish durable improvement from temporary metric movement.
  • Build state-of-the-art measurement systems to evaluate heterogeneous effects across user personas, acquisition cohorts, platforms, content types, and community stages, and guide their actionability in production environments
  • Ensure coherence around ecosystem interactions including feedback loops, selection effects, interference, distribution shift, content supply, and other ecosystem risks.
  • Translate complex technical findings into clear product and business decisions.
  • Develop exceptional scientists through mentoring and influence data science org health and direction

Requirements

  • Deep expertise in at least one relevant area, with the breadth and curiosity to work across adjacent domains.
  • A deep understanding of how to model and optimize systems involving users, content, communities, and feedback loops.
  • Ability to frame and lead the most ambiguous questions, identify the most important uncertainties, and develop a rigorous path from evidence to action.
  • Exceptional technical judgment across model design, objective selection, validation, experimentation, and production tradeoffs.
  • Advanced knowledge of modern machine-learning methods for behavioral and content data, including representation learning and sequential or contextual models. Experience with deep-learning frameworks such as PyTorch or JAX.
  • Experience working across Product, Engineering, Research, and other partner teams.
  • Excellent written and verbal communication, with the ability to influence senior stakeholders and explain technical ideas clearly.
  • Significant experience applying data science, machine learning, statistics, experimentation, or causal inference to complex consumer products.

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$313,000—$365,100 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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Data Analytics BI Analyst III at Credible

BI Analyst partners with cross-functional teams to build dashboards, monitor performance trends, conduct investigative analyses, and define key metrics that drive business decisions.

Mid Posted 1 day ago RemoteFirstJobs Product
What this role involves

Who is Credible?

Credible is a leading U.S. consumer finance marketplace, transforming the way consumers access and compare financial products. We operate at a consumer and enterprise level. On the consumer side, we help millions of people make smarter financial decisions by comparing personalized, pre-qualified offers across student loans, personal loans, mortgages, credit cards, and insurance — all without impacting their credit score. On the enterprise side, we power financial product comparison and distribution through deep integrations and partnerships with lenders, insurance carriers, and financial institutions, as well as providing marketplace technology and capabilities to third-party partners and distribution channels.

About the Role:

Credible is looking for a data-driven, results-oriented Data Analyst to join the Business Intelligence and Analytics team. This role will be integral in providing insights that inform company decisions across several business functions including user acquisition, brand marketing, product development, finance, and operations. This is a great opportunity for you to join a growth stage company and contribute to the success of our products and the continual improvement of our user and customer experiences.

Responsibilities:

  • Partner with teams across the organization (user acquisition, product development, etc) to understand their analytics needs and produce dashboards and analytics solutions that allow them to execute more effectively
  • Monitor performance trends and provide regular insights to stakeholders, flagging data discrepancies and business risks before they impact results
  • Become the subject matter expert on our profit drivers, unit economics, and campaign/funnel performance
  • Proactively identify data gaps and inconsistencies, working cross-functionally to enhance data quality and analytical depth
  • Work with business leaders to define key metrics and build reporting to monitor performance along those metrics
  • Conduct in-depth investigative data analyses that lead to actionable insights, owning the entire process from ideation to execution to presentation of findings to stakeholders
  • Help structure A/B tests, establish goals and define instrumentation and logging requirements for tests and features
  • Become an expert on all aspects of Credible’s data and analytics infrastructure

Education and Experience:

  • BA/BS in a quantitative field
  • 3+ years of work experience as a data analyst, data engineer, or in a highly analytical role
  • Experience writing SQL queries and optimizing data models
  • Experience leveraging visualization/reporting tools (Looker, Tableau, etc.)
  • Experience using Excel for analysis
  • Experience with A/B and multivariate testing, which includes providing input into structuring experiments appropriately
  • Strong grasp of statistics and experience conducting rigorous data analyses
  • Experience using the command line and git repositories
  • Experience with a scripting language (preferably Python) for data processing and analysis a plus
  • Experience developing models and visualizations in Looker a plus
  • Experience at an e-commerce or fintech company a plus

Must have:

  • Ability to communicate analytical findings to both technical and non-technical stakeholders
  • An investigative spirit, high curiosity about how the business operates, and a drive for clear, responsive, proactive communication with stakeholders and partners, including the confidence to clarify requirements and push back constructively on requests
  • Comfortable conducting time-sensitive investigations and navigating high-pressure, quick-turnaround environments while juggling multiple priorities effectively
  • A go-getter and highly motivated self-starter with strong technical skills and the ability to work efficiently with minimal supervision
  • Big picture thinking combined with a love for diving into the details; anticipate business needs, proactively identify problems, and think critically about analyses with a business owner mindset
  • Passion for spreading the value of data throughout the company and communicating insights to a broad audience with varying levels of technical expertise.
  • Experience with business to consumer (B2C)

Why work at Credible?

We combine the intelligence, expertise, and confidence of a financial advisor with the approachability and honesty of a friend. In other words, we’re the friend you always wish you had in finance.

We are optimistic, challengers, trustworthy, clever, and smart. We are open and transparent. We strive to act as advisors by being friendly, objective, and open in our communication. We use language that is intelligent yet approachable. When appropriate, we’ll drop in a bit of wit to position ourselves as a fresh, reliable voice in the financial world.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

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