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Data Analytics Senior Data Scientist

Analyzes business data and builds statistical or machine learning models to support lease-to-own products and decisions.

Senior Posted about 2 hours ago Himalayas
What this role involves
Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions.
Read the full description
Data Analytics Senior Manager, Revenue Operations & Analytics at Parsley Health

Analyzes and improves the company-wide revenue engine through SQL, forecasting, reporting, metric reconciliation, and cross-functional operational insights.

Senior Remote Posted about 3 hours ago RemoteFirstJobs Product
What this role involves

Senior Manager, Revenue Operations & Analytics

Parsley Health · Finance · Remote US, with a preference for Eastern or Central time zones and NYC metro · Full-time

About Parsley Health

Parsley Health is rebuilding primary care around root-cause, whole-person medicine. Our members get board-certified clinicians, health coaches, advanced testing, and a care platform that connects the dots across all of it.

We are a mostly virtual medical practice with care available across the country, and we recently expanded in-network access nationwide. As we grow, we are continuing to improve how we connect growth, care delivery, member experience, and financial performance so we can make better decisions and scale sustainably.

About the role

We are hiring a Senior Manager, Revenue Operations & Analytics to help us understand and improve the full revenue engine at Parsley Health.

Our revenue model extends well beyond a traditional sales funnel. Marketing creates demand, Sales converts prospective members, Member Experience influences engagement and retention, clinician capacity affects how much care we can deliver, and billing and collections determine how effectively that care translates into revenue.

This person will look across that entire system.

You will help us understand what is happening, why it is happening, and what we should do next. That means digging into the data, reconciling situations where different teams or metrics are telling different stories, challenging assumptions, improving forecasts and reporting, and bringing the right people together when an issue crosses functional lines.

This is a senior individual contributor role. You should be highly analytical and technically capable, including strong SQL skills and enough understanding of modern data infrastructure to investigate when the numbers do not look right. You do not need to be a data engineer. Deeper backend and infrastructure work will be supported by our Technology team and specialized partners.

The role reports to Finance, with a strong dotted-line partnership to the CTO, and works closely with nearly all department leaders.

This role is remote by default, with a preference for candidates in Eastern or Central time zones. Candidates in the New York City area will have opportunities to collaborate in person with executives, physicians, and other leaders at our Manhattan headquarters.

What you’ll do

  • Own the view of our revenue engine: Connect performance across marketing, sales, member engagement, clinician capacity, visits, billing, collections, and financial results so leaders understand where revenue is growing, slowing, or leaking.
  • Turn analysis into action: Investigate business questions, identify root causes, recommend what should change, and follow through with the relevant teams. Sometimes the right answer will be a reporting change. Other times it may be a process, forecast, operating assumption, or business decision.
  • Reconcile conflicting stories: When Marketing, Sales, Clinical, MX, or Finance are seeing different versions of what is happening, dig into the underlying data and help the company get to a shared understanding.
  • Improve forecasting and planning: Partner with Finance and functional leaders on forecasts across revenue, membership, conversion, clinician capacity, visit volume, retention, and collections. Challenge assumptions when operational data suggests a different outcome.
  • Own BI and key business metrics: Maintain and improve our dashboards and recurring reporting, establish clear metric definitions and sources of truth, and change reporting processes when they are creating confusion or no longer helping the business make decisions.
  • Improve growth analytics: Partner closely with our SVP of Marketing and Growth Product Manager to connect acquisition, lead quality, sales conversion, activation, engagement, retention, and downstream revenue.
  • Connect care delivery and RCM to revenue: Help us understand how clinician capacity, utilization, visits, payer performance, billing, denials, collections, and other revenue cycle factors interact with the rest of the business, including data from our RCM and  clinical systems.
  • Handle practical RevOps and BizOps needs: Own or triage recurring analytical and operational work such as commissions, KPI reporting, ad hoc business analysis, and other cross-functional questions that need a clear owner.
  • Work directly with the data: Use SQL and our BI environment to investigate questions, validate assumptions, identify data quality issues, and chase down discrepancies before they become business decisions based on bad information.

What success looks like

Within your first year:

  • Leadership has a clearer and more trusted view of revenue performance and the operational drivers behind it.
  • Material risks and opportunities surfaced earlier, with clear recommendations about what to do next.
  • Teams spend less time reconciling conflicting numbers and more time acting from shared metrics and assumptions.
  • Revenue forecasts better reflect what is happening across acquisition, conversion, capacity, retention, billing, and collections.

What we’re looking for

Required experience

  • 6+ years of experience across Revenue Operations, business operations, revenue strategy, analytics, business intelligence, or a related role
  • Experience owning cross-functional business problems rather than only producing analysis or reporting
  • Experience using AI tools to accelerate analysis, automation, or operational workflows
  • Strong SQL skills and the ability to independently investigate complex datasets
  • Experience with revenue forecasting, funnel analysis, operational metrics, or business performance analytics
  • Experience translating data into clear recommendations and driving toward a decision or resolution
  • Experience defining business metrics and creating consistent sources of truth across teams
  • Comfort working with BI tools such as Metabase, Looker, Tableau, Power BI, Mode, or similar platforms
  • Enough understanding of data pipelines and modern analytics infrastructure to investigate quality issues and work effectively with technical partners
  • Strong communication skills and comfort challenging assumptions with senior leaders
  • Strong judgment and curiosity, including knowing when the initial question is not the question the business actually needs answered
  • Comfort operating independently in a small, fast-moving company

Nice to have

  • Experience in a high-growth, venture-backed technology company
  • Experience in healthcare, digital health, healthcare services, or another regulated environment
  • Experience with revenue cycle management, healthcare billing, or EMR data
  • Experience with subscription, consumer, marketplace, or recurring revenue business models
  • Experience using Python or another analytical scripting language

Our analytics environment

Our current environment includes tools such as Metabase, Fivetran, SQL, Python, GCP, Airflow, and Dataform / dbt, along with BigQuery.

We care more about your ability to understand modern data systems, investigate issues, and learn our environment than whether you have used every specific tool in our stack.

Compensation & Benefits

Parsley Health is committed to providing an equitable, fair, and transparent compensation program for all employees.

The starting salary for this role is between $145,000 and $170,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.

Individual compensation decisions are based on a number of factors, including experience level, skillset, scope, and internal equity relative to peers at the company.

Benefits include

  • Equity stake for all employees based on role level
  • 401(k) + employer matching program
  • Hybrid opportunity with remote work and time on site at our NYC HQ
  • Complimentary Parsley Health Complete Care membership
  • Subsidized medical, dental, and vision insurance plan options
  • Generous flexible time off plan
  • Annual professional development stipend
  • Annual wellness stipend

Equal Opportunity Statement

At Parsley Health we believe in celebrating everything that makes us human and are proud to be an equal opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

The more inclusive we are, the better we can serve our members.

Important note

In light of the recent increase in hiring scams, if you’re selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an @parsleyhealth.com email address to guide you through our interview process.

Please note:

  • We will never communicate with you via Microsoft Teams
  • We will never ask for your bank account information at any point during the recruitment process
  • We will never send you a check, electronic or physical, to purchase home office equipment

We look forward to connecting.

Read the full description
Data Analytics Senior Manager, Revenue Operations & Analytics at Parsley Health

Analyzes and improves the company-wide revenue engine through SQL, forecasting, reporting, metric reconciliation, and cross-functional operational insights.

Senior Remote Posted about 3 hours ago RemoteFirstJobs Product
What this role involves

Senior Manager, Revenue Operations & Analytics

Parsley Health · Finance · Remote US, with a preference for Eastern or Central time zones and NYC metro · Full-time

About Parsley Health

Parsley Health is rebuilding primary care around root-cause, whole-person medicine. Our members get board-certified clinicians, health coaches, advanced testing, and a care platform that connects the dots across all of it.

We are a mostly virtual medical practice with care available across the country, and we recently expanded in-network access nationwide. As we grow, we are continuing to improve how we connect growth, care delivery, member experience, and financial performance so we can make better decisions and scale sustainably.

About the role

We are hiring a Senior Manager, Revenue Operations & Analytics to help us understand and improve the full revenue engine at Parsley Health.

Our revenue model extends well beyond a traditional sales funnel. Marketing creates demand, Sales converts prospective members, Member Experience influences engagement and retention, clinician capacity affects how much care we can deliver, and billing and collections determine how effectively that care translates into revenue.

This person will look across that entire system.

You will help us understand what is happening, why it is happening, and what we should do next. That means digging into the data, reconciling situations where different teams or metrics are telling different stories, challenging assumptions, improving forecasts and reporting, and bringing the right people together when an issue crosses functional lines.

This is a senior individual contributor role. You should be highly analytical and technically capable, including strong SQL skills and enough understanding of modern data infrastructure to investigate when the numbers do not look right. You do not need to be a data engineer. Deeper backend and infrastructure work will be supported by our Technology team and specialized partners.

The role reports to Finance, with a strong dotted-line partnership to the CTO, and works closely with nearly all department leaders.

This role is remote by default, with a preference for candidates in Eastern or Central time zones. Candidates in the New York City area will have opportunities to collaborate in person with executives, physicians, and other leaders at our Manhattan headquarters.

What you’ll do

  • Own the view of our revenue engine: Connect performance across marketing, sales, member engagement, clinician capacity, visits, billing, collections, and financial results so leaders understand where revenue is growing, slowing, or leaking.
  • Turn analysis into action: Investigate business questions, identify root causes, recommend what should change, and follow through with the relevant teams. Sometimes the right answer will be a reporting change. Other times it may be a process, forecast, operating assumption, or business decision.
  • Reconcile conflicting stories: When Marketing, Sales, Clinical, MX, or Finance are seeing different versions of what is happening, dig into the underlying data and help the company get to a shared understanding.
  • Improve forecasting and planning: Partner with Finance and functional leaders on forecasts across revenue, membership, conversion, clinician capacity, visit volume, retention, and collections. Challenge assumptions when operational data suggests a different outcome.
  • Own BI and key business metrics: Maintain and improve our dashboards and recurring reporting, establish clear metric definitions and sources of truth, and change reporting processes when they are creating confusion or no longer helping the business make decisions.
  • Improve growth analytics: Partner closely with our SVP of Marketing and Growth Product Manager to connect acquisition, lead quality, sales conversion, activation, engagement, retention, and downstream revenue.
  • Connect care delivery and RCM to revenue: Help us understand how clinician capacity, utilization, visits, payer performance, billing, denials, collections, and other revenue cycle factors interact with the rest of the business, including data from our RCM and  clinical systems.
  • Handle practical RevOps and BizOps needs: Own or triage recurring analytical and operational work such as commissions, KPI reporting, ad hoc business analysis, and other cross-functional questions that need a clear owner.
  • Work directly with the data: Use SQL and our BI environment to investigate questions, validate assumptions, identify data quality issues, and chase down discrepancies before they become business decisions based on bad information.

What success looks like

Within your first year:

  • Leadership has a clearer and more trusted view of revenue performance and the operational drivers behind it.
  • Material risks and opportunities surfaced earlier, with clear recommendations about what to do next.
  • Teams spend less time reconciling conflicting numbers and more time acting from shared metrics and assumptions.
  • Revenue forecasts better reflect what is happening across acquisition, conversion, capacity, retention, billing, and collections.

What we’re looking for

Required experience

  • 6+ years of experience across Revenue Operations, business operations, revenue strategy, analytics, business intelligence, or a related role
  • Experience owning cross-functional business problems rather than only producing analysis or reporting
  • Experience using AI tools to accelerate analysis, automation, or operational workflows
  • Strong SQL skills and the ability to independently investigate complex datasets
  • Experience with revenue forecasting, funnel analysis, operational metrics, or business performance analytics
  • Experience translating data into clear recommendations and driving toward a decision or resolution
  • Experience defining business metrics and creating consistent sources of truth across teams
  • Comfort working with BI tools such as Metabase, Looker, Tableau, Power BI, Mode, or similar platforms
  • Enough understanding of data pipelines and modern analytics infrastructure to investigate quality issues and work effectively with technical partners
  • Strong communication skills and comfort challenging assumptions with senior leaders
  • Strong judgment and curiosity, including knowing when the initial question is not the question the business actually needs answered
  • Comfort operating independently in a small, fast-moving company

Nice to have

  • Experience in a high-growth, venture-backed technology company
  • Experience in healthcare, digital health, healthcare services, or another regulated environment
  • Experience with revenue cycle management, healthcare billing, or EMR data
  • Experience with subscription, consumer, marketplace, or recurring revenue business models
  • Experience using Python or another analytical scripting language

Our analytics environment

Our current environment includes tools such as Metabase, Fivetran, SQL, Python, GCP, Airflow, and Dataform / dbt, along with BigQuery.

We care more about your ability to understand modern data systems, investigate issues, and learn our environment than whether you have used every specific tool in our stack.

Compensation & Benefits

Parsley Health is committed to providing an equitable, fair, and transparent compensation program for all employees.

The starting salary for this role is between $145,000 and $170,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.

Individual compensation decisions are based on a number of factors, including experience level, skillset, scope, and internal equity relative to peers at the company.

Benefits include

  • Equity stake for all employees based on role level
  • 401(k) + employer matching program
  • Hybrid opportunity with remote work and time on site at our NYC HQ
  • Complimentary Parsley Health Complete Care membership
  • Subsidized medical, dental, and vision insurance plan options
  • Generous flexible time off plan
  • Annual professional development stipend
  • Annual wellness stipend

Equal Opportunity Statement

At Parsley Health we believe in celebrating everything that makes us human and are proud to be an equal opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

The more inclusive we are, the better we can serve our members.

Important note

In light of the recent increase in hiring scams, if you’re selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an @parsleyhealth.com email address to guide you through our interview process.

Please note:

  • We will never communicate with you via Microsoft Teams
  • We will never ask for your bank account information at any point during the recruitment process
  • We will never send you a check, electronic or physical, to purchase home office equipment

We look forward to connecting.

Read the full description
Data Analytics Business Analyst – Securities Lending & Triparty at Delta Capita

Analyzes securities finance processes, gathers requirements, supports system implementations, and coordinates UAT and operational improvements.

Senior Hybrid Posted about 3 hours ago RemoteFirstJobs Product
What this role involves

Description

Role: Business Analyst – Securities Lending & Triparty

Employment Type: Fixed Term Contract – 6 Months

Location: Hybrid

Role Overview:

Delta Capita is supporting a strategic transformation programme for a leading global financial markets organisation within the Securities Finance space. We are seeking an experienced Business Analyst with strong Securities Lending Borrowing (SBL) and Triparty domain expertise to support the delivery of multiple front-to-back business and technology initiatives.

The successful candidate will work closely with Operations, Product, Technology and Business stakeholders to gather requirements, define future-state processes and support the implementation of key platform enhancements and operational improvements.

Key Responsibilities:

  1. Gather, analyse and document business requirements

  2. Produce functional specifications, process flows and business documentation

  3. Conduct current state and target state analysis

  4. Facilitate workshops with business and technology stakeholders

  5. Support solution design and delivery across securities finance workflows

  6. Coordinate and support UAT activities, defect management and production releases

  7. Assist with data migration, onboarding and process automation initiatives

  8. Work closely with development, testing and operations teams throughout the project lifecycle

Requirements

Essential Skills & Experience

  1. Strong Business Analysis experience within Capital Markets

  2. Deep understanding of Securities Lending & Borrowing (SBL) processes

  3. Experience covering the full securities lending lifecycle including:

    • Loans

    • Returns

    • Recalls

    • Reallocations

    • Settlements

    • Trade booking

  4. Strong Triparty collateral management knowledge

  5. Experience with post-trade processing and operational workflows

  6. Knowledge of SWIFT messaging and settlements

  7. Experience working on data migration and systems implementation projects

  8. Demonstrated experience supporting UAT and business change initiatives

  9. Strong stakeholder management and communication skills

Desirable Experience :

  1. Exposure to EquiLend, Pirum, Broadridge or similar Securities Finance platforms

  2. Corporate Actions experience within Securities Finance

  3. Collateral Management or Repo domain knowledge

  4. Exposure to settlement monitoring, exposure management and reconciliation processes

  5. Experience working within investment banks, custodians or securities finance providers

Ideal Candidate :

We are particularly interested in candidates who have worked within Securities Finance teams at investment banks, custodians, market infrastructure providers or financial technology organisations, delivering change initiatives across Securities Lending, Triparty and Post-Trade services.

How We Work:

Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require any reasonable adjustments through your interview process, please use the designated space within the application questionnaire.

This is a FTC/Contract position located in London with hybrid working. As the selection and interview process is ongoing, please submit your application in English as soon as possible, if your profile is selected, a member of our team will contact you within 4 weeks. For this role, a valid working permit for the UK is mandatory.

Expectations regarding hybrid working: As we are a Service Provider and Consulting firm servicing clients, our policy for physically working from the office (which may be the clients’ offices or our own offices depending on the client) aligns to what our clients’ policies and expectations are and these vary. Most of our clients now require a minimum of 3 days per week in the office, 2 days from home, and accordingly this is also the minimum expectation that Delta Capita require.

Who We Are:

Delta Capita Group (a member of the Prytek Group) is a global managed services, consulting, and solutions provider with a unique combination of experience in Financial Services and technology innovation capability. Our mission is to reinvent the financial services value chain providing technology based mutualized services for financial institutions for non-differentiating services.

Our 3 offerings are:

  • Managed Services

  • Consulting & Solutions

  • Technology

To know more about Delta Capita and our culture click here: Working at DC - Delta Capita.

Read the full description
Data Analytics Data Scientist III – Temporary

Analyzes biomedical data and develops statistical or machine learning models to support cancer diagnostics and research.

Senior Posted about 14 hours ago Jobicy AI
What this role involves
At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte...
Read the full description
Data Analytics Data Science Summer 2027 Internship Program at Datacor, Inc.

Analyzes data and develops AI applications through research, experimentation, and collaboration with stakeholders during a summer internship.

Junior Posted 1 day ago RemoteFirstJobs Product
What this role involves

About Us:

Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems.

We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.

About Us:

Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems.

We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.

The Role:

At our core, we empower our top talent with the autonomy to craft innovative solutions that make a real difference—helping our users become better, faster, smarter, and more efficient. In our working team model, you’ll move fast and continuously deliver cutting-edge features by collaborating with a cross functional team. This approach gives our AI scientists and engineers full ownership—from ideation and research to experimentation and scaling groundbreaking products and services that directly impact our users’ daily operations.

We seek curious, humble, and driven individuals who embrace learning as a fundamental part of their journey. If you’re passionate about pushing AI boundaries and making a meaningful impact alongside a supportive, innovative team, this is the place for you.

Responsibilities:

  • Collaborate with stakeholders to identify new AI opportunities and create intelligent AI applications.
  • Lead MVP development using a test-and-learn approach with cross-functional teams.
  • Iterate from problem framing to prototyping and deploying production-grade solutions.
  • Deliver reliable, scalable AI features in production.
  • Build prototypes and develop data pipelines for deployment.
  • Experiment with generative LLMs to create and enhance generative applications using prompts and user feedback.
  • Clearly communicate efforts and impact to both technical and business audiences.

Qualifications:

  • Currently enrolled in a Master’s of PhD program in Computational Data Science, Computer Science, Electrical/Computer Engineering, or related fields.
  • A self-starter with the ability to work independently and within a team.
  • Experience in a professional environment, including prior internship experience is preferred.
  • Expertise in the latest Large Language Models (LLMs) and AI advancements.
  • Proactive in staying updated with evolving AI trends and new LLM releases.
  • Skilled at diagnosing and solving complex, ambiguous problems with curiosity and a product-focused mindset.
  • Strong communication and presentation skills, able to convey complex analysis clearly and actionably.
  • Results-oriented, creative thinker who takes initiative and delivers practical solutions.
  • Committed to inclusivity, respecting diverse perspectives to foster innovation and build great products.
  • Proven expertise in implementing and fine-tuning generative AI LLMs, with strong NLP knowledge including embeddings, GPT, and Transformer models.
  • Familiarity with cloud computing and AI deployment on AWS or Google Cloud.
  • Solid foundation in deep learning, machine learning, statistics, and optimization from coursework or practical experience.
  • Proficient in Python & C++/Java programming through academic or work experience.

This is a remote internship with potential travel, depending on location, schedule, and business needs.

EOE Statement:

Datacor is an Equal Opportunity Employer and does not discriminate on the basis or race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic.

Use of AI During Interviews:

At Datacor, we value thoughtful problem-solving and authentic perspectives. To ensure a fair and consistent evaluation process, we ask that candidates do not use generative AI tools or outside assistance during live interviews unless explicitly stated otherwise. We’re interested in hearing your experience, your approach, and how you think through challenges.

Read the full description
Data Analytics Business Solutions Analyst, EHR & Enterprise Platforms (Hybrid) at New York Psychotherapy and Counseling Center (NYPCC)

Analyzes business and clinical system needs, configures enterprise platforms, and optimizes EHR, Salesforce, and learning management workflows.

Mid Hybrid Posted 1 day ago RemoteFirstJobs Product
What this role involves

Company Description

Join One of New York’s Most Awarded Mental Health Employers!

At NYPCC , we’re not just changing lives, we’re redefining what it means to build a meaningful career in mental health.

🏆2025 and 2026 City & State Top Workplace in New York

🏆 Mental Health America’s Platinum Bell Seal recipient for FIVE consecutive years

🏆 Serving 15,000+ clients every month

🏆 50+ years of transforming lives across New York City

If you’re looking for more than just your next job, you’ve found it.

For over five decades, New York Psychotherapy and Counseling Center (NYPCC) has been one of New York’s leading community mental health organizations, delivering innovative, compassionate care through both in-person and telehealth services. Today, we proudly serve more than 15,000 clients each month while continuing to set the standard for clinical excellence and employee experience.

At NYPCC, you’ll find:

  • Competitive compensation and outstanding benefits
  • Career growth through our Academy and leadership development programs
  • A collaborative, mission-driven culture where our employee matters
  • The chance to make a lasting impact on thousands of lives every single day

Come build a career where purpose meets possibility!

Job Description

The Business Solutions Analyst, Enterprise Platforms — a role often titled Business Systems Analyst — is a hands-on, ownership-driven position that both defines how NYPCC’s business and clinical systems should work and builds it. This individual partners with departments across the organization to understand their needs (the analysis) and then configures, administers, and continuously optimizes our platforms to meet them (the build). The immediate priority is to become NYPCC’s in-house expert on our new cloud-based EHR, Arize by Cantata Health, as we migrate from our legacy system, ensuring the platform is configured to support person-centered care, efficient clinical and administrative workflows, and full regulatory compliance. Prior Arize experience is not expected; you will learn the platform alongside the vendor’s implementation team, and what matters is a proven record of hands-on configuration on a comparable system.

Over time, the role expands to take ownership of additional configurable platforms — such as Salesforce and our Learning Management System — maximizing the value of the technology NYPCC has invested in.

Success in this role is defined by ownership: proactively partnering across the agency, spotting opportunities others miss, and shaping the roadmap for our platforms rather than simply responding to requests.

Responsibilties:

EHR Configuration & Optimization (Primary Focus)

  • Serve as NYPCC’s in-house subject-matter expert on the new cloud EHR, owning its day-to-day configuration and administration.
  • During the migration, embed with the implementation team, shadow the vendor’s build, and be fully prepared to own the platform independently at go-live.
  • Configure and continuously optimize EHR workflows, screen layouts, forms, custom fields, business rules, security roles, and reports in a controlled, compliance-safe manner.
  • Diagnose and resolve configuration issues, and proactively identify enhancements that improve clinician and staff efficiency and the client experience.

Business Analysis & Solution Design

  • Proactively partner with clinical, billing, quality/compliance, HR, and operations teams to understand their workflows, challenges, and goals.
  • Translate business and clinical needs into clear requirements and working system configuration.
  • Build, own, and prioritize a transparent roadmap and backlog of platform improvements — identifying opportunities on your own initiative, not simply fulfilling assigned requests.
  • Map current-state processes and design improved future-state workflows enabled by the platform.

Enterprise Platform Administration & Growth

  • As capacity allows beyond the EHR, take on declarative administration of Salesforce, partnering with NYPCC’s external Salesforce consultant for code-level development.
  • Support the HR team in fully leveraging and optimizing the Learning Management System (LMS).
  • Identify and scope automation opportunities and partner with NYPCC’s RPA developer to implement them.
  • Take on additional business and clinical platforms over time as the organization centralizes system ownership.

Release, Change & Configuration Management

  • Establish and follow right-sized change-control practices: sandbox-to-production promotion, testing, documentation, and version tracking.
  • Ensure thorough testing so configuration changes never disrupt live clinical or billing workflows.
  • Maintain clear, current documentation of configurations, decisions, and standards.

Security, Compliance & Data Integrity

  • Design and maintain role-based access and security aligned with HIPAA, HITECH, 42 CFR Part 2, OMH, DOH, and Medicaid requirements.
  • Support audits, data-integrity initiatives, and regulatory reporting.
  • Partner with the organization’s Managed Service Provider (MSP) to uphold NYPCC’s privacy, security, and data-stewardship standards.

User Enablement & Support

  • Provide Tier-2 configuration support to end users and grow a network of departmental super-users.
  • Train clinical and administrative staff to use platforms effectively and confidently.
  • Build and maintain reports and dashboards that give leadership visibility into operations.

Vendor Collaboration

  • Serve as the day-to-day liaison to the EHR vendor and manage the deliverables of platform consultants (Salesforce, RPA).
  • Escalate and track vendor issues to resolution.

Value & Continuous Improvement

  • Track and report the value delivered — adoption, hours saved, and reduced outsourced configuration spend.
  • Continuously look for ways to help NYPCC get more out of the platforms it already owns.

Miscellaneous

  • Other duties and special projects as assigned by leadership.

Qualifications

  • 3–6 years configuring and administering at least one declarative, low-code SaaS platform in production (e.g., an EHR/EMR, Salesforce, Workday, or NetSuite) — hands-on build experience is essential to this role.
  • Demonstrated business analysis skills: requirements gathering, process mapping, and translating business needs into working system configuration.
  • A demonstrated record of ownership and initiative — identifying improvements no one assigned and driving them to completion.
  • A learning mindset and the drive to grow into broader platform ownership over time.
  • Strong change-management discipline and sound instincts for system security and role-based access.
  • Proficiency building reports and dashboards.
  • Comfort with ambiguity and self-direction, with excellent skills partnering with non-technical staff.
  • Hands-on EHR/EMR configuration experience on any platform (e.g., Netsmart, Qualifacts, Epic, or Cerner) strongly preferred.
  • Salesforce administration experience, or clear aptitude and desire to learn it, strongly preferred.
  • Behavioral health or healthcare experience, and familiarity with HIPAA, 42 CFR Part 2, and Medicaid billing, preferred.
  • Awareness of automation/RPA tools (e.g., UiPath) sufficient to identify and scope opportunities, preferred.
  • Relevant certifications (e.g., Salesforce Administrator or EHR vendor certifications) preferred.
  • Bachelor’s degree in information technology, healthcare administration, business, or a related field — or equivalent practical experience.
  • Thrives in a dynamic, evolving, high-change environment and is passionate about NYPCC’s mission and values.
  • Valid Driver’s License and reliable vehicle to travel across Bronx, Brooklyn, and Queens as needed.

Additional Information

Salary: $110,000 - $125,000 per year

Compensation commensurate with experience and qualifications.

All your information will be kept confidential according to EEO guidelines.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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Data Analytics Data Analyst (Entry-Level) at Recidiviz

Analyzes complex criminal justice data, develops insights and tools, and communicates findings to support data-driven efforts to reduce incarceration.

Junior Remote Posted 1 day ago RemoteFirstJobs Product
What this role involves

Data Analyst

Location: Remote, New York City, or Oakland, CA

  • Travel is encouraged approximately once per year to state partners within the continental USA, and occasionally required. We expect these trips to include visits to prisons and parole offices.

Role Type: Full-time

Compensation: $85,000

Visa sponsorship: Not available

Hires remotely in: United States

Experience: 6+ months of professional work experience, including internships or research

Recidiviz is thrilled to be hiring a Data Analyst to join our team! We’re a small, fast-moving group that works with complex criminal justice data from our state partners and develops analyses and tools that target the drivers of incarceration. That’s where you come in. We’re looking for someone early in their data career who brings attention to detail to our analyses, curiosity to dig into unfamiliar and messy data, clarity in explaining what they find, flexibility to adjust in a rapidly evolving environment, and above all else, a collaborative, kind nature to add to our culture.

About us

Recidiviz is creating safer, healthier communities by improving outcomes for people in the criminal justice system. We build technology to reduce the number of people in prison and to help criminal justice leaders embrace data-driven decision-making.

Using software tools and thoughtful product design, we’ve been able to safely and permanently reduce incarceration and improve outcomes. We work side-by-side with leaders of the criminal justice system, people in prison and on supervision, and ecosystem partners to build a better path forward. In addition to the revenue we earn from state partners, some of the most respected philanthropists and foundations support our work.

People who succeed at Recidiviz lead with kindness and humility, assume good intent, learn from failure, and fix problems when they see them. They are excited to work arm in arm with government leadership and staff to improve outcomes. They are great listeners. They build deep relationships with and empathy for the people we work with and the people who our mission serves, even when those two groups feel at odds.

About the role

This role works alongside experienced analysts and teammates across several teams on work that targets the drivers of incarceration. Our Data Analysts work with diverse data (criminal justice data both raw and processed from across the country, reports and policy documents from government agencies, and much more) to develop our understanding of the criminal justice system and to motivate change. In this role, you’ll carry out well-defined analyses, build clear visualizations with our existing tools, and support product launches by preparing the data each product needs in each state. You’ll share your findings with teams across Recidiviz and, alongside teammates, with our state partners.

Core responsibilities

  • Exploring our datasets to find patterns and insights about American criminal justice systems
  • Carrying out well-scoped analyses with guidance from senior analysts and our State Engagement team
  • Supporting product launches in the states where we work by following established launch processes, preparing the analytical data each launch needs, and flagging data discrepancies as they come up
  • Building clear, well-documented visualizations and dashboards using our existing tools
  • Communicating findings to internal teams, and presenting to state partners alongside teammates
  • Analyzing trends in areas related to our own work to understand how our products function

Wild success

A year from now:

  • You’ve contributed to real impact. Your analyses have supported product launches in the states you work with and have helped measure the impact those tools are having on the justice system.
  • You’ve become a go-to analyst for your states. You know their data, policies, and products well, and you answer new questions with growing independence and the right tool for each job.

Minimum qualifications

  • Strong communication and collaboration skills, to help nurture a knowledgeable, data-oriented culture
  • Enthusiasm for working with internal and external partners from diverse backgrounds and worldviews, such as government staff, researchers, journalists, technical staff, and practitioners in criminal justice reform
  • Care and curiosity in inspecting source data and checking results closely, so the data and analyses you prepare can be trusted and reused
  • 6 or more months of practical experience exploring, analyzing, and cleaning real-world datasets. Internships and research count, and part-time roles count when their hours add up to roughly 6 months of full-time work.
  • Working proficiency in SQL, including joins, aggregations, and window functions
  • Familiarity with Python, specifically the Pandas package, for data analysis and visualization

Preferred qualifications

  • Interest in criminal justice or public policy, or experience working with public-sector data
  • Experience with a BI or dashboarding tool such as Looker or Tableau
  • Familiarity with any part of our data stack, which includes Google Cloud Platform, BigQuery, Looker, Jupyter notebooks, and Python/Pandas

Compensation

Compensation is standardized based on roles and responsibilities. This ensures equitable compensation and responsible stewardship of our resources. As such, we do not negotiate compensation offers.

The annual compensation for this role is: $85,000.

What we offer

  • Effective, extremely thoughtful colleagues, working together on a mission that matters
  • 90% medical, dental, and vision insurance coverage for you and your dependents
  • Flexible time off, including 20 days of PTO, 3 days of paid volunteering time, and 13 paid holidays
  • 12 weeks of paid parental leave
  • 401(k) retirement plan with 5% company match and no vesting period
  • Complimentary One Medical membership (depending on location)
  • Partnership with Carrot to provide employees with inclusive fertility and family-forming benefits, as well as a small but growing number of hormonal health and gender-affirming care benefits
  • Monthly ClassPass credit for personal wellness
  • Free mental health support via Talkspace
  • Well-located offices in Oakland and Manhattan, with the flexibility to work remotely or go into either office as you choose
  • An annual company offsite each spring and other ad-hoc gatherings
  • All the exhilarating challenges and stretch opportunities of a tech startup, combined with the mission-driven heart of a nonprofit

More about Recidiviz

Recidiviz was an all-volunteer effort until early 2019, when Clementine, Andrew, and Joshua founded the organization. Since then, we’ve built an A-team of software engineers, designers, product managers and domain experts, from companies like Google, Apple, Dropbox, Opower, and Sidewalk Labs. Recidiviz was part of Y-Combinator’s 2019 class and has received support from some of the most respected philanthropists and foundations, including Ford Foundation, Mackenzie Scott, Schmidt Futures, Arnold Ventures, Chan Zuckerberg Initiative, and the Mozilla Foundation.

Today, Recidiviz works with (and earns revenue from) over 19 state partners – big and small, red and blue – and covers more than 45% of the US incarcerated population. We have helped to get tens of thousands of people out of the criminal justice system, safely and equitably, and saved states nearly $1 billion. In the next five years, Recidiviz plans to partner with 40 states and help 250,000 people who are stuck in the system to get out and stay out. In addition to partnering with state Departments of Corrections, Recidiviz collaborates with and learns from partners – from organizations like the Correctional Leaders Association (CLA) to community based organizations and justice-impacted individuals, whose perspectives guide our work.

To learn more about how we do what we do, check out our 2024 Year in Review, read some press coverage, or watch our TED Talk. And if you’re really keen to see our work, you can dive into our Github :).

An important note

Lasting change is always built on diversity. Recidiviz recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, sex, sexual orientation, disability, age, veteran status, ancestry, citizenship, marital status, gender identity and all protected status as required by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a special need that requires accommodation, please let us know in your application. Even if you don’t think you meet all the criteria above, drop your resume, and we’ll take a look – you might be great for another role or another time!

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Data Analytics Business Planning Analyst, ES

Analyzes business data, manages information, and improves processes to support Fujifilm Endoscopy’s planning and business objectives.

Mid Posted 1 day ago Himalayas
What this role involves
Position OverviewThe Business Planning Analyst role provides critical support to Fujifilm Endoscopy’s organization by delivering actionable insights, data management, and process optimization to ensure the attainment of business objectives.
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Data Analytics Product Analytics & Experimentation Lead at Moonpig

Analyzes customer behavior, governs product metrics, and leads experimentation to guide evidence-based product improvements.

Lead Hybrid Posted 2 days ago RemoteFirstJobs Product
What this role involves

We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles.

We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care.

We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built a place where people (and ideas) can truly thrive.

If you’re looking to make an impact, bring your spark and be part of something meaningful – we’d love to have you on the team. 🌙🐷

Product Analytics & Experimentation Lead | 📍London – Hybrid (1–2 days per week) | 💰Competitive Salary + Benefits

About the Role

Are you passionate about turning customer behaviour into better digital experiences? As our Product Analytics & Experimentation Lead, you’ll help shape how millions of customers interact with Moonpig by uncovering insights that drive smarter product decisions.

This is a senior individual contributor role where you’ll partner closely with Product, Data and Engineering teams to understand customer behaviour, identify opportunities to improve the customer journey, and help teams measure the impact of the changes they make.

You’ll play a key role in building confidence in our product metrics, improving experimentation practices, and enabling teams to make evidence-based decisions. If you enjoy solving complex problems, translating data into clear recommendations and helping others learn from customer behaviour, we’d love to hear from you.

Key Responsibilities:

  • Partner with Product teams to understand customer journeys, product questions and opportunities to improve the customer experience.
  • Conduct exploratory behavioural analysis using techniques including funnel, journey, cohort, segmentation and retention analysis.
  • Translate analytical findings into clear, practical recommendations that help teams prioritise what to improve next.
  • Define, maintain and govern product and behavioural metrics to ensure consistent, reliable measurement across teams.
  • Validate product tracking and data quality, working closely with Data and Engineering colleagues to resolve issues.
  • Provide guidance on experimentation best practice, including hypotheses, success metrics, test validity and interpretation of results.
  • Develop repeatable frameworks, documentation and resources that enable consistent measurement and learning across Product teams.
  • Build confidence across teams in using behavioural data to inform product decisions.
  • Collaborate with cross-functional partners to champion strong analytical thinking and customer-focused decision making.

About You:

  • Significant experience in Product Analytics, Customer Analytics or a similar role within a digital product or e-commerce environment.
  • Strong hands-on SQL skills with the ability to investigate data, challenge assumptions and communicate findings clearly.
  • Experience exploring customer behaviour through funnel, journey, cohort, segmentation or retention analysis.
  • Proven ability to define, maintain and govern product metrics to improve the quality and consistency of measurement.
  • Experience supporting experimentation through structured testing, robust measurement and thoughtful interpretation of results.
  • Excellent communication skills with the ability to explain complex analysis in a clear and practical way.
  • Strong collaboration skills and experience partnering with Product and cross-functional teams.
  • Experience creating analytical frameworks, documentation or resources that help teams measure products consistently.
  • Comfortable working through ambiguity while remaining focused on customer behaviour and product outcomes.

Nice to Have:

  • Working knowledge of Python.
  • Experience with product analytics platforms such as Mixpanel, Amplitude or similar.
  • Familiarity with Snowflake, Tableau or comparable data platforms.
  • Experience using causal inference techniques such as regression, matching, difference-in-differences or uplift modelling.
  • Experience evaluating recommendation, personalisation or AI-enabled product features.
  • Experience sharing analytical knowledge through coaching, documentation or communities of practice.

What’s in it for you?

We believe in empowering our team to do their best work. Enjoy:

💰 Competitive Pay & Bonuses: Plus, generous pension plans & staff discounts.

💆🏽 Wellbeing First: Private healthcare (UK) and mental health support

🏖️ Flexible Working & Time Off: Generous holidays, hybrid working (1-3 days in office, depending on role/team) & up to 20 days of international working.

📈 Career Growth: Learning allowances, coaching & development programs.

Want to know more?

Explore our full benefits package: here

Check out our podcast, tech blog and product blog to hear more about how we work and what we’re building!

Our Ways of Working:

We trust our colleagues to do what’s right and offer flexibility to support a balance between work and life. At the same time, face-to-face office time is an important and expected part of working at Moonpig Group. We believe regular in-person working supports collaboration, alignment, and effective decision-making. Candidates will have regular and ongoing time working from the office as part of their role, which will be discussed during the recruitment process.

Moonpig Group’s Commitment to Equality, Diversity, and Inclusivity:

At Moonpig Group, we’re all about creating a workplace where everyone feels they truly belong. We celebrate what makes each of us unique, whether that’s our background, how we work best, or what matters most to us.

From working parents who need flexible hours to neurodiverse colleagues with specific working styles, we’re here to support our people in ways that work for them. Because when you feel valued and included, you can thrive, and so can we.

We’re proud to have a number of employee-led groups driving this forward, including our LGBTQ+, Gender Balance, Neurodiversity and EMBRACE (Educating Myself for Better Racial Awareness and Cultural Enrichment) communities, plus our Group-wide EDI committee. These teams help make sure every voice is heard and every idea has a place.

We know that diversity fuels creativity, innovation and connection, and that’s why we’ll keep pushing for progress. Together, we’re building a culture where everyone feels safe, supported, and free to be their brilliant, authentic selves.

If you have a preferred name, please use it to apply and share your pronouns if you are comfortable to do so😊 - If you have any reasonable adjustment requests throughout the interview process please let us know on your application or speak to the Recruiter.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Data Analytics Deal Intelligence Analyst at Cloudflare

Builds deal intelligence data systems, executive dashboards, and analytics to optimize pricing, protect margins, and support complex deal approvals.

Mid Onsite Posted 2 days 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: Lisbon

About the Deal Desk Team

The Deal Desk team is a critical component of the Finance function, serving as a trusted advisor to critical internal stakeholders as deal architect working on structuring, negotiating, approving and closing large complex commitment deals while balancing margin preservation, compliance, and velocity. We are committed to building a data-centric and AI-augmented Deal Desk that leverages predictive analytics and automated workflows to optimize pricing in real-time and automate routine approvals, allowing for deeper strategic focus.

Role Summary

As a Deal Intelligence Analyst, you will be the analytical engine driving our transition to a data-centric and AI-augmented Deal Desk. Sitting within the Finance function, you will design the data systems and executive dashboards that allow our deal architects to analyze complex deal terms, protect margins, and close large, complex commitment deals with unprecedented velocity.

This role is designed for a “full-stack” analyst. You won’t just be querying pre-cleaned data—you possess the technical skills to build the pipelines that feed your insights. You will leverage Cloudflare’s Developer Platform (Workers, R2, D1, Workers AI) alongside standard data warehousing tools to extract raw CRM and CPQ data, integrate it into AI workflows, and deliver actionable insights that directly impact margin preservation and our global growth.

What you’ll do

  • Build Advanced Dashboards & Analytics: Design and maintain executive dashboards and self-serve reporting systems that provide real-time visibility into deal terms, discount thresholds, win/loss rates, and margin performance across all regions.
  • Transform Ideas into Reality: Work with stakeholders and help them refine their ideas and goals into queries that we’ll automate.
  • Drive Strategic Margin Analysis: Partner closely with Finance, Infrastructure and Deal Desk leadership to dive deep into historic and active pricing data, uncovering insights that ensure our quoting strategies consistently align with margin preservation goals.
  • Develop Data Pipelines: Apply your data engineering skills to build and maintain the ELT/ETL pipelines that extract messy data from Salesforce, CPQ, and billing systems, transforming it into clean, usable semantic models.
  • Power AI Workflows: Assist in integrating structured deal data into Deal Desk tools to help automate routine approvals and surface real-time pricing optimizations to deal managers.
  • Data Storytelling & Enablement: Translate complex datasets into clear, actionable narratives for non-technical stakeholders, empowering the Deal Desk team to use your data products for faster, data-driven negotiations.

Required Skills & Experience

  • 3-5+ years of professional experience in Data Analytics, Business Intelligence, or a technical RevOps role, with a strong emphasis on full-stack data problem solving.
  • Experience incorporating data into AI workflows, utilizing LLM orchestration frameworks, or building predictive models.
  • Expert-level SQL and deep proficiency in modern data visualization and BI platforms (e.g., Tableau, Looker, Sigma, PowerBI) to build intuitive executive reporting.
  • Strong programming skills in Python (or TypeScript) with hands-on experience building ELT/ETL pipelines, interacting with APIs, and cleaning raw data.
  • Experience designing analytical data models specifically tailored for financial and SaaS business analysis (e.g., margins, discount rates, ARR, NRR).
  • Familiarity with cloud data platforms and an interest in edge computing/serverless architectures (Cloudflare Workers, R2, D1).
  • Domain expertise in CRM data structures (especially Salesforce custom objects), CPQ complexities, and the quote-to-cash lifecycle.
  • Exceptional communication skills with the ability to bridge the gap between technical data systems and strategic Finance operations.

Nice-to-Have Skills

Background working closely with Deal Desk, Finance, or Sales Strategy teams at a high-growth SaaS or technology company.

  • Familiarity with data transformation frameworks and orchestration tools (like Airflow).
  • Familiarity with Google Cloud Platform or other analytics databases

If you’re excited by fast-paced innovation, dedicated to driving global growth, and want to help build a better internet, we’d love to hear from you.

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 Data & Analytics Lead, Sales & Revenue Operations at HONK

Leads sales and revenue analytics, builds reporting and data pipelines, and develops forecasts and scoring models for business leaders.

Lead Posted 2 days ago RemoteFirstJobs Product
What this role involves

Honk is a technology-driven roadside assistance platform that connects enterprise and retail customers with a nationwide network of service providers. We don’t own trucks. We built the marketplace, the dispatch engine, and the data infrastructure that makes the whole thing work. We’re PE-backed, scaling fast, and aggressively investing in automation / AI and excellent talent.

The Role

You’ll report directly to the CFO. You won’t get a detailed spec or a queue of tickets. You’ll figure out what the business needs, find the data, fix what’s broken and get past blockers on your own. The work starts in Sales Operations and grows into full Revenue Operations.

Your first 6 months: analyst and engineer

  • Learn how Honk makes money: enterprise contracts, job volume, and the provider network behind them.

  • Answer ad-hoc questions from the CFO and sales leadership quickly and clearly

  • Build trusted reporting on pipeline, bookings, win rates, sales cycle, and rep productivity using Looker and Snowflake

  • Own the data flow from HubSpot and other GTM systems into Snowflake and BigQuery

  • Assess how our transformations are built and maintained today, and set up a proper modeling layer (dbt or similar) if needed

After that: scientist and strategist

  • Build revenue and pipeline forecasts, lead and account scoring, and churn and expansion models

  • Support territory, quota and pricing decisions with analysis

  • Extend reporting from Sales into Marketing, Customer Success and Finance, and help create one version of revenue truth that ties CRM, billing and the general ledger together

What we’re looking for

  • 4 - 8 years in data roles, with hands-on experience in both analytics and data engineering

  • Strong SQL and Python

  • Experience with Snowflake (or another cloud warehouse) and Looker (or another BI tool)

  • Experience working with HubSpot CRM data, or with Salesforce data if you’re willing to learn HubSpot

  • A track record of working independently: you’ve been the first data hire or the only one on a team, or you’ve built something from scratch without much direction

  • Comfort presenting to finance and company leaders

Nice to have

  • dbt, Airbyte, Fivetran or reverse ETL experience

  • Experience with forecasting and statistical modeling

  • SalesOps, RevOps or FP&A analytics experience at a marketplace, on-demand, logistics, or insurance company

  • Comfort using AI tools in your data work (we use Claude and maintain our own plugin marketplace of skills)

$135,000 - $165,000 a year

Pay for this position depends on several factors, including market location, and may vary based on job-related knowledge, skills, and experience. HONK is a total compensation company. Depending on the position offered, commission and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

At HONK, we’re a community of diverse and passionate individuals who believe in the power of remote work and the strength of inclusivity. As a remote-first company, we embrace the boundless possibilities of collaboration and flexibility, allowing our team members to thrive from anywhere in the US.

HONK is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions at HONK are based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by law.

Note: HONK does not work with third-party recruiters or staffing agencies for this role. Please be aware of recruiting scams and fraudulent outreach impersonating employers online. All communication regarding this opportunity will come directly from the HONK team through official company channels.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Data Analytics Business Analyst, Card Portfolio Analytics at Blend

Analyzes card portfolio performance, maintains reports and dashboards, and translates data into insights and recommendations for financial-services stakeholders.

Mid Remote Posted 2 days ago RemoteFirstJobs Product
What this role involves

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients.

Job Description

Our Fortune 100 financial services client is seeking a Business Analyst, Card Portfolio Analytics, to provide dedicated analytics and reporting support for a community financial institution’s card portfolio, with a particular focus on a new card program.  This role will develop a deep understanding of the portfolio and serve as a trusted business partner for reporting, analytics, and ongoing business questions related to the card program.

The ideal candidate brings a combination of strong business analysis and reporting capabilities, card-service knowledge, sound business judgment, and the ability to translate data into practical recommendations.  This is a highly collaborative, business-facing role that requires someone who can work independently while partnering closely with stakeholders to understand needs, identify trends, and improve how portfolio information is reported and used.

The Details:

  • Location: Fully remote within U.S. (Must work Pacific or Mountain Time)
  • Duration: Approximately a 9-month consulting role with the possibility of extension (must be able to work on Blend’s W2 without sponsorship)
  • Benefits: We do offer benefits to our full-time consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Pretax Commuter Benefits, and an incredibly supportive team cheering you on!

What you’ll do:

Card Portfolio Analytics & Reporting

  • Provide ongoing analytics and reporting support for a card portfolio, with a particular focus on a new card program.
  • Develop a strong understanding of portfolio performance, business objectives, and stakeholder needs to provide meaningful analytical support.
  • Develop, refine, and maintain recurring business reports and dashboards.
  • Respond to ongoing business questions by researching data, analyzing results, and translating findings into clear business insights.
  • Analyze portfolio performance, trends, and key drivers to identify opportunities, challenges, and areas requiring additional attention.
  • Present findings through clear reports, presentations, and business recommendations tailored to the needs of business stakeholders.

Business Analysis & Thought Partnership

  • Partner with business stakeholders to understand questions, objectives, and reporting needs and translate them into actionable analysis.
  • Apply sound business judgment when interpreting data and determining the practical implications of findings.
  • Translate quantitative information into clear, data-informed recommendations that can support business decision-making.
  • Serve as a trusted thought partner to stakeholders by proactively identifying trends, opportunities, and potential areas for improvement.
  • Develop a deep understanding of the card portfolio and use that knowledge to provide context beyond simply reporting the numbers.

Reporting Optimization

  • Evaluate existing reports and reporting processes to identify opportunities to simplify, streamline, and improve recurring deliverables.
  • Help transform lengthy or complex reporting into more efficient, user-friendly, and actionable formats.
  • Identify opportunities to reduce manual effort and improve consistency across recurring reporting processes.
  • Where appropriate, collaborate with stakeholders and technical partners to explore opportunities for reporting automation or process improvements.

Stakeholder Collaboration

  • Work closely with business stakeholders and cross-functional partners to understand priorities and deliver timely analytical support.
  • Manage multiple requests and priorities while maintaining accuracy, quality, and responsiveness.
  • Communicate analytical findings clearly to both analytical and non-technical audiences.
  • Build strong working relationships and establish credibility through reliable follow-through, attention to detail, and practical business insight.
  • Work independently while knowing when to ask questions, seek additional context, or escalate an issue.

Qualifications

Education & Experience

  • 5+ years of experience in business analysis, data analysis, reporting, card services, card operations, or a related field.
  • Experience working with business reporting and analyzing quantitative information to identify trends, performance drivers, and meaningful business implications.
  • Strong knowledge of payments, card services, card operations, or card portfolio management.
  • Experience developing, refining, and maintaining business reports.
  • Experience supporting a card-product launch, portfolio optimization initiative, or similar business initiative is a plus.
  • Experience working with DataChoice, First Data, or Symitar is strongly preferred.
  • Experience simplifying or automating recurring reporting processes is a plus.

Analytical & Technical Skills

  • Advanced Microsoft Excel skills.
  • Strong data analysis capabilities, including the ability to interpret results, identify trends, and determine practical business implications.
  • Ability to translate data into clear, actionable business recommendations.
  • Strong attention to detail and accuracy when working with reports and quantitative information.
  • Experience with Microsoft Copilot or similar AI-enabled productivity tools is strongly preferred.
  • Exposure to AI coding or development-assistance tools is a plus, but hands-on software development experience is not required.

Business & Communication Skills

  • Strong business judgment and the ability to connect analytical findings to broader business objectives.
  • Excellent written and verbal communication skills, including the ability to explain analytical findings to non-technical stakeholders.
  • Strong organizational and time-management skills with the ability to manage competing priorities and ongoing business requests.
  • Ability to work independently while collaborating effectively with business stakeholders and cross-functional teams.
  • Highly detail-oriented, proactive, dependable, and comfortable taking ownership of deliverables.
  • Strong problem-solving skills and a practical, business-focused approach to analysis.

Additional Information

The targeted pay range for this role is $60.00-65.00 per hour.  Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.

A diverse workforce is a strong workforce

To deliver growth at BLEND360 and for our clients, we believe as a Talent Solutions Company, we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history, our growth, and continues to have a profound impact on our success.  We are determined to have equality in the workplace, within our team and as an extension of our clients’ team.

BLEND360 is an equal opportunity employer.

Read the full description
Data Analytics Remote Sensing Data Scientist at Muon Space

Builds and validates geospatial data products from multispectral infrared satellite imagery using scalable algorithms and production-ready code.

Mid Hybrid Posted 2 days ago RemoteFirstJobs Product
What this role involves

About the role

Muon Space is building a family of infrared imaging missions designed for global wildfire detection and monitoring, weather and cloud characterization, and space-based environmental monitoring. Muon’s IR Data Products team builds the analytics system that processes the data from our spacecraft’s custom multispectral imaging instruments into data products and analytics for diverse end-user stakeholders from these missions. We are seeking a Geospatial Data Scientist to join this team with a focus on building derived data products from Muon’s FireSat and Space-Based Environmental Monitoring (SBEM) missions.

This role will be a hands-on contributor to the development of derived data products from Muon’s IR data missions. You will dive deep into real-world data from brand new imaging systems, prototype and productionize algorithms that turn Level-1 imagery into higher-level derived products, and write production-ready code that feeds directly into customer-facing services. Working alongside senior scientists and product owners on the IR Data Products team, you will build expertise across both missions while contributing to product design, validation, and documentation. This is a high-impact, multi-mission role that sits at the intersection of rigorous Earth observation science and fast-moving product development, and is well-suited for someone who thrives on hands-on technical work and cross-functional collaboration.

This position is hybrid and requires working on-site in our Denver, CO office three days per week.

Responsibilities

  • Build derived data products from Muon’s infrared imaging missions, spanning Muon’s IR programs
  • Implement and improve scalable algorithms for processing, transforming, and analyzing multispectral infrared imagery into derived geospatial products.
  • Contribute to derived product design and roadmap under the direction of senior scientists and product owners on the IR Data team.
  • Contribute to technical and customer-facing design documents for derived products, supporting alignment between internal capabilities and external stakeholder requirements.
  • Support engagement with customer technical stakeholders including Technical Interchange Meetings (TIMs), customer questions, and program meetings
  • Write production-ready code that integrates into customer-facing data product pipelines and operational services.
  • Contribute to the scientific quality, quantitative validation, and integrity of derived products across Muon’s IR missions.
  • Work cross-functionally with software engineers, calibration scientists, and instrument engineers to design, build, and maintain operational data product services.
  • Learn new topics as needed (e.g., sensor geometry and characterization, georeferencing techniques, wildfire and environmental monitoring applications, cloud-native geospatial data engineering).

Qualifications

  • Degree & Experience: PhD; or MS with 3+ years industry experience; or BS with 5+ years industry experience
  • Geospatial Processing: Hands-on experience building geospatial data products, particularly from new or novel imaging instruments.
  • Scientific Rigor: Demonstrated experience applying first principles to solve complex problems.
  • Sensor Data: Experience working with real-world data from new or novel imaging instruments
  • Software Development: Strong skills in Python-based development and analysis
  • Geospatial Technical Stack: Strong Python development skills utilizing standard geospatial formats and libraries (e.g., COGs, Xarray, GDAL).
  • Communication & Collaboration: Excellent written and verbal communication skills, with a track record of collaborating across distributed, interdisciplinary teams (scientists, engineers, product).
  • Distributed Team: Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support)
  • Startup Adaptability: Ability to prioritize, pivot, and thrive in a fast-paced environment.

Preferred Qualifications

  • Infrared sensing: Experience processing multispectral or infrared satellite imagery
  • Domain Expertise:  Domain expertise in wildfire monitoring, meteorology, weather, environmental remote sensing, or related Earth observation applications
  • Mission & Operational Lifecycle: Experience supporting satellite mission product development, commissioning, early operations, or delivering operational pipelines to external customers.
  • ML/AI: Demonstrated experience applying ML/DL and advanced image processing to remote sensing data
  • Cloud Architecture: Familiarity with cloud-native geospatial workflows and large-scale data processing (AWS preferred).
  • Technical Documentation: Experience authoring technical design documents, product specifications, or algorithm theoretical basis documents (ATBDs).

Salary

The salary range for this role is $171,000 - $191,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process.

About Muon Space

Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world.

Taking Care of Our Team

At Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave.

Our mission embraces the entire planet and we believe our team should too.  Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don’t check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.

Muon is currently registered and able to hire in the following states:

AL, AZ, CA, CO, CT, DC, FL, GA, IL, IA, ID, MD, MA, MI, MN, MO, NJ, NY, NC, OH, OR, PA, TN, TX, VT, VA, WA

ITAR/EAR Requirements

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or © eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

Read the full description
Data Analytics Product Analytics & Experimentation Lead at Moonpig

Analyzes customer behavior, governs product metrics, and leads experimentation to guide evidence-based product improvements.

Lead Hybrid Posted 2 days ago RemoteFirstJobs Product
What this role involves

We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles.

We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care.

We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built a place where people (and ideas) can truly thrive.

If you’re looking to make an impact, bring your spark and be part of something meaningful – we’d love to have you on the team. 🌙🐷

Product Analytics & Experimentation Lead | 📍London – Hybrid (1–2 days per week) | 💰Competitive Salary + Benefits

About the Role

Are you passionate about turning customer behaviour into better digital experiences? As our Product Analytics & Experimentation Lead, you’ll help shape how millions of customers interact with Moonpig by uncovering insights that drive smarter product decisions.

This is a senior individual contributor role where you’ll partner closely with Product, Data and Engineering teams to understand customer behaviour, identify opportunities to improve the customer journey, and help teams measure the impact of the changes they make.

You’ll play a key role in building confidence in our product metrics, improving experimentation practices, and enabling teams to make evidence-based decisions. If you enjoy solving complex problems, translating data into clear recommendations and helping others learn from customer behaviour, we’d love to hear from you.

Key Responsibilities:

  • Partner with Product teams to understand customer journeys, product questions and opportunities to improve the customer experience.
  • Conduct exploratory behavioural analysis using techniques including funnel, journey, cohort, segmentation and retention analysis.
  • Translate analytical findings into clear, practical recommendations that help teams prioritise what to improve next.
  • Define, maintain and govern product and behavioural metrics to ensure consistent, reliable measurement across teams.
  • Validate product tracking and data quality, working closely with Data and Engineering colleagues to resolve issues.
  • Provide guidance on experimentation best practice, including hypotheses, success metrics, test validity and interpretation of results.
  • Develop repeatable frameworks, documentation and resources that enable consistent measurement and learning across Product teams.
  • Build confidence across teams in using behavioural data to inform product decisions.
  • Collaborate with cross-functional partners to champion strong analytical thinking and customer-focused decision making.

About You:

  • Significant experience in Product Analytics, Customer Analytics or a similar role within a digital product or e-commerce environment.
  • Strong hands-on SQL skills with the ability to investigate data, challenge assumptions and communicate findings clearly.
  • Experience exploring customer behaviour through funnel, journey, cohort, segmentation or retention analysis.
  • Proven ability to define, maintain and govern product metrics to improve the quality and consistency of measurement.
  • Experience supporting experimentation through structured testing, robust measurement and thoughtful interpretation of results.
  • Excellent communication skills with the ability to explain complex analysis in a clear and practical way.
  • Strong collaboration skills and experience partnering with Product and cross-functional teams.
  • Experience creating analytical frameworks, documentation or resources that help teams measure products consistently.
  • Comfortable working through ambiguity while remaining focused on customer behaviour and product outcomes.

Nice to Have:

  • Working knowledge of Python.
  • Experience with product analytics platforms such as Mixpanel, Amplitude or similar.
  • Familiarity with Snowflake, Tableau or comparable data platforms.
  • Experience using causal inference techniques such as regression, matching, difference-in-differences or uplift modelling.
  • Experience evaluating recommendation, personalisation or AI-enabled product features.
  • Experience sharing analytical knowledge through coaching, documentation or communities of practice.

What’s in it for you?

We believe in empowering our team to do their best work. Enjoy:

💰 Competitive Pay & Bonuses: Plus, generous pension plans & staff discounts.

💆🏽 Wellbeing First: Private healthcare (UK) and mental health support

🏖️ Flexible Working & Time Off: Generous holidays, hybrid working (1-3 days in office, depending on role/team) & up to 20 days of international working.

📈 Career Growth: Learning allowances, coaching & development programs.

Want to know more?

Explore our full benefits package: here

Check out our podcast, tech blog and product blog to hear more about how we work and what we’re building!

Our Ways of Working:

We trust our colleagues to do what’s right and offer flexibility to support a balance between work and life. At the same time, face-to-face office time is an important and expected part of working at Moonpig Group. We believe regular in-person working supports collaboration, alignment, and effective decision-making. Candidates will have regular and ongoing time working from the office as part of their role, which will be discussed during the recruitment process.

Moonpig Group’s Commitment to Equality, Diversity, and Inclusivity:

At Moonpig Group, we’re all about creating a workplace where everyone feels they truly belong. We celebrate what makes each of us unique, whether that’s our background, how we work best, or what matters most to us.

From working parents who need flexible hours to neurodiverse colleagues with specific working styles, we’re here to support our people in ways that work for them. Because when you feel valued and included, you can thrive, and so can we.

We’re proud to have a number of employee-led groups driving this forward, including our LGBTQ+, Gender Balance, Neurodiversity and EMBRACE (Educating Myself for Better Racial Awareness and Cultural Enrichment) communities, plus our Group-wide EDI committee. These teams help make sure every voice is heard and every idea has a place.

We know that diversity fuels creativity, innovation and connection, and that’s why we’ll keep pushing for progress. Together, we’re building a culture where everyone feels safe, supported, and free to be their brilliant, authentic selves.

If you have a preferred name, please use it to apply and share your pronouns if you are comfortable to do so😊 - If you have any reasonable adjustment requests throughout the interview process please let us know on your application or speak to the Recruiter.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Read the full description
Data Analytics Remote Sensing Data Scientist at Muon Space

Builds and productionizes algorithms that transform multispectral satellite imagery into validated geospatial data products and customer-facing analytics.

Mid Hybrid Posted 2 days ago RemoteFirstJobs Product
What this role involves

About the role

Muon Space is building a family of infrared imaging missions designed for global wildfire detection and monitoring, weather and cloud characterization, and space-based environmental monitoring. Muon’s IR Data Products team builds the analytics system that processes the data from our spacecraft’s custom multispectral imaging instruments into data products and analytics for diverse end-user stakeholders from these missions. We are seeking a Geospatial Data Scientist to join this team with a focus on building derived data products from Muon’s FireSat and Space-Based Environmental Monitoring (SBEM) missions.

This role will be a hands-on contributor to the development of derived data products from Muon’s IR data missions. You will dive deep into real-world data from brand new imaging systems, prototype and productionize algorithms that turn Level-1 imagery into higher-level derived products, and write production-ready code that feeds directly into customer-facing services. Working alongside senior scientists and product owners on the IR Data Products team, you will build expertise across both missions while contributing to product design, validation, and documentation. This is a high-impact, multi-mission role that sits at the intersection of rigorous Earth observation science and fast-moving product development, and is well-suited for someone who thrives on hands-on technical work and cross-functional collaboration.

This position is hybrid and requires working on-site in our Denver, CO office three days per week.

Responsibilities

  • Build derived data products from Muon’s infrared imaging missions, spanning Muon’s IR programs
  • Implement and improve scalable algorithms for processing, transforming, and analyzing multispectral infrared imagery into derived geospatial products.
  • Contribute to derived product design and roadmap under the direction of senior scientists and product owners on the IR Data team.
  • Contribute to technical and customer-facing design documents for derived products, supporting alignment between internal capabilities and external stakeholder requirements.
  • Support engagement with customer technical stakeholders including Technical Interchange Meetings (TIMs), customer questions, and program meetings
  • Write production-ready code that integrates into customer-facing data product pipelines and operational services.
  • Contribute to the scientific quality, quantitative validation, and integrity of derived products across Muon’s IR missions.
  • Work cross-functionally with software engineers, calibration scientists, and instrument engineers to design, build, and maintain operational data product services.
  • Learn new topics as needed (e.g., sensor geometry and characterization, georeferencing techniques, wildfire and environmental monitoring applications, cloud-native geospatial data engineering).

Qualifications

  • Degree & Experience: PhD; or MS with 3+ years industry experience; or BS with 5+ years industry experience
  • Geospatial Processing: Hands-on experience building geospatial data products, particularly from new or novel imaging instruments.
  • Scientific Rigor: Demonstrated experience applying first principles to solve complex problems.
  • Sensor Data: Experience working with real-world data from new or novel imaging instruments
  • Software Development: Strong skills in Python-based development and analysis
  • Geospatial Technical Stack: Strong Python development skills utilizing standard geospatial formats and libraries (e.g., COGs, Xarray, GDAL).
  • Communication & Collaboration: Excellent written and verbal communication skills, with a track record of collaborating across distributed, interdisciplinary teams (scientists, engineers, product).
  • Distributed Team: Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support)
  • Startup Adaptability: Ability to prioritize, pivot, and thrive in a fast-paced environment.

Preferred Qualifications

  • Infrared sensing: Experience processing multispectral or infrared satellite imagery
  • Domain Expertise:  Domain expertise in wildfire monitoring, meteorology, weather, environmental remote sensing, or related Earth observation applications
  • Mission & Operational Lifecycle: Experience supporting satellite mission product development, commissioning, early operations, or delivering operational pipelines to external customers.
  • ML/AI: Demonstrated experience applying ML/DL and advanced image processing to remote sensing data
  • Cloud Architecture: Familiarity with cloud-native geospatial workflows and large-scale data processing (AWS preferred).
  • Technical Documentation: Experience authoring technical design documents, product specifications, or algorithm theoretical basis documents (ATBDs).

Salary

The salary range for this role is $171,000 - $191,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process.

About Muon Space

Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world.

Taking Care of Our Team

At Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave.

Our mission embraces the entire planet and we believe our team should too.  Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don’t check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.

Muon is currently registered and able to hire in the following states:

AL, AZ, CA, CO, CT, DC, FL, GA, IL, IA, ID, MD, MA, MI, MN, MO, NJ, NY, NC, OH, OR, PA, TN, TX, VT, VA, WA

ITAR/EAR Requirements

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or © eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

Read the full description
Data Analytics Senior Remote Sensing Data Scientist, Cal/Val at Muon Space

Builds and operates production calibration and image-processing pipelines for multispectral infrared satellite data, including testing, monitoring, and diagnostics.

Senior Hybrid Posted 2 days ago RemoteFirstJobs Product
What this role involves

About the role

Muon Space is building a family of infrared imaging missions designed for global wildfire detection and monitoring, weather and cloud characterization, and space-based environmental monitoring. Muon’s IR Data Products team builds the analytics system that processes the data from our spacecraft’s custom multispectral imaging instruments into data products and analytics for diverse end-user stakeholders from these missions. We are seeking a Data Scientist to join the team to build out the on-orbit data calibration system.

In this role, the candidate will join Muon’s calibration team to build the production software systems that deliver calibration and image processing of the unique multi-spectral infrared data from several instrument variations in Muon’s IR missions. This is a data science role with a strong software engineering focus: the successful candidate will translate calibration algorithms into hardened production pipelines, complete with monitoring and alerting, unit and integration testing, and automated diagnostic visualizations that keep calibration and image quality observable end-to-end. As the FireSat constellation scales, this role will take on an expanded mandate that spans both the FireSat Initial Operating Capability (IOC) commissioning and Muon’s Space-Based Environmental Monitoring (SBEM) program. In the near term, the candidate will build out and operate the calibration software stack for the three FireSat satellites of the IOC constellation and stand up the automated testing and monitoring tooling that keeps that stack healthy at constellation scale. In parallel, the candidate will develop the production calibration infrastructure for Muon’s SBEM instruments — a next-generation sensor suite featuring additional infrared spectral bands and significantly more stringent radiometric calibration requirements than the FireSat camera. As the SBEM program advances toward its 2027 launch, the candidate will first collaborate with the IR Instrument team on pre-launch calibration software and test harnesses, then lead the deployment and on-orbit operation of the SBEM calibration pipelines.

This position is hybrid and requires working on-site in our Denver, CO office three days per week.

Responsibilities

  • Design, build, and operate production-grade calibration and image-processing pipelines for the multispectral infrared imagery from Muon’s FireSat and SBEM missions.
  • Translate calibration algorithms — such as dark/offset correction, non-uniformity correction (NUC), radiometric gain and linearity, bad-pixel identification and replacement, and band-to-band registration — from research prototypes into hardened, well-tested production code, and own the testing strategy across unit, integration, and regression suites over representative lab and on-orbit datasets.
  • Analyze pre-launch (thermal-vacuum, integrating sphere) and on-orbit calibration data to derive, validate, and trend calibration coefficients, and build monitoring, alerting, and automated diagnostic visualizations that surface calibration accuracy, noise, uniformity, and image-quality metrics as data flows through the pipelines.
  • Contribute to CI/CD, deployment, containerization, and observability tooling that keeps calibration services reliable in production, and partner with calibration scientists and the IR Instrument team to plan and execute pre-launch and on-orbit calibration campaigns for the SBEM instruments and productionize their algorithms.
  • Drive engineering best practices across the calibration codebase — code review, version control, documentation, versioned management of calibration coefficients and lookup tables, and continuous improvement of test coverage and reliability.
  • Work cross-functionally with calibration scientists, IR instrument engineers, and product teams to build and maintain operational calibration services and ensure the scientific quality, quantitative validation, and radiometric integrity of Muon’s IR data products — including uncertainty budgets and cross-calibration against on-board calibrators, blackbody references, and vicarious calibration sites
  • Learn new topics as needed (measurement techniques, geospatial data engineering, software engineering, customer domain-specific implications)

Qualifications

  • PhD with 3+ years, MS with 6+ years, or BS with 8+ years of industry experience
  • 4+ years of experience calibrating imaging instruments
  • Hands-on experience with complex data from new imaging instruments
  • Proven track record shipping and operating production data or analytics pipelines for scientific data — including monitoring, logging, alerting, and automated testing — ideally in a remote sensing, calibration, or other measurement-instrument context
  • Demonstrated experience taking scientific or numerical algorithms — for example calibration, image-processing, or signal-processing algorithms — from prototype to hardened, maintainable production code, including designing unit and integration test suites and quantitative validation against reference data
  • Exceptional Python software engineering skills, including modern packaging, testing frameworks (e.g., pytest), version control, code review, and CI/CD workflows
  • Solid grounding in statistics, applied mathematics, and enough instrument physics to reason about calibration algorithms, radiometric error budgets, and their diagnostics — and to design meaningful automated quality visualizations on top of them
  • Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support)
  • Ability to thrive in a fast-paced start up environment

Preferred Qualifications

  • Experience with mid-wave infrared instruments and MWIR data processing, and hands-on experience calibrating on-orbit imaging instruments — radiometric, spectral, and geometric
  • Deep knowledge of the science of remote sensing and radiometric calibration, including SI-traceability and uncertainty analysis.
  • Experience with detector characterization (dark current, non-uniformity, linearity, noise, MTF, or PRNU/DSNU), calibration campaign design (blackbodies, integrating spheres, on-board calibrators, deep convective clouds, lunar or vicarious calibration sites), and/or geospatial data processing
  • Familiarity with common geospatial data tooling and formats (e.g. XArray, COG, NetCDF), and with building automated visualization or dashboarding tools for scientific data (e.g., Plotly, Panel, Streamlit, Grafana)
  • Familiarity with containerization and workflow orchestration (Docker, Kubernetes, Airflow, Prefect, Argo, or similar)
  • Experience with cloud-native systems and infrastructure-as-code (AWS preferred)
  • Experience working with large TB-sized datasets, and domain expertise in geospatial analytics

Salary

The salary range for this role is $192,000 - $213,000.00, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process.

About Muon Space

Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world.

Taking Care of Our Team

At Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave.

Our mission embraces the entire planet and we believe our team should too.  Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don’t check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.

Muon is currently registered and able to hire in the following states:

AL, AZ, CA, CO, CT, DC, FL, GA, IL, IA, ID, MD, MA, MI, MN, MO, NJ, NY, NC, OH, OR, PA, TN, TX, VT, VA, WA

ITAR/EAR Requirements

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or © eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.

Read the full description
Data Analytics Data & Analytics Lead, Sales & Revenue Operations at HONK

Build analytics, data pipelines, forecasting models, and revenue reporting to support sales and company leadership.

Lead Posted 2 days ago RemoteFirstJobs Product
What this role involves

Honk is a technology-driven roadside assistance platform that connects enterprise and retail customers with a nationwide network of service providers. We don’t own trucks. We built the marketplace, the dispatch engine, and the data infrastructure that makes the whole thing work. We’re PE-backed, scaling fast, and aggressively investing in automation / AI and excellent talent.

The Role

You’ll report directly to the CFO. You won’t get a detailed spec or a queue of tickets. You’ll figure out what the business needs, find the data, fix what’s broken and get past blockers on your own. The work starts in Sales Operations and grows into full Revenue Operations.

Your first 6 months: analyst and engineer

  • Learn how Honk makes money: enterprise contracts, job volume, and the provider network behind them.

  • Answer ad-hoc questions from the CFO and sales leadership quickly and clearly

  • Build trusted reporting on pipeline, bookings, win rates, sales cycle, and rep productivity using Looker and Snowflake

  • Own the data flow from HubSpot and other GTM systems into Snowflake and BigQuery

  • Assess how our transformations are built and maintained today, and set up a proper modeling layer (dbt or similar) if needed

After that: scientist and strategist

  • Build revenue and pipeline forecasts, lead and account scoring, and churn and expansion models

  • Support territory, quota and pricing decisions with analysis

  • Extend reporting from Sales into Marketing, Customer Success and Finance, and help create one version of revenue truth that ties CRM, billing and the general ledger together

What we’re looking for

  • 4 - 8 years in data roles, with hands-on experience in both analytics and data engineering

  • Strong SQL and Python

  • Experience with Snowflake (or another cloud warehouse) and Looker (or another BI tool)

  • Experience working with HubSpot CRM data, or with Salesforce data if you’re willing to learn HubSpot

  • A track record of working independently: you’ve been the first data hire or the only one on a team, or you’ve built something from scratch without much direction

  • Comfort presenting to finance and company leaders

Nice to have

  • dbt, Airbyte, Fivetran or reverse ETL experience

  • Experience with forecasting and statistical modeling

  • SalesOps, RevOps or FP&A analytics experience at a marketplace, on-demand, logistics, or insurance company

  • Comfort using AI tools in your data work (we use Claude and maintain our own plugin marketplace of skills)

$135,000 - $165,000 a year

Pay for this position depends on several factors, including market location, and may vary based on job-related knowledge, skills, and experience. HONK is a total compensation company. Depending on the position offered, commission and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

At HONK, we’re a community of diverse and passionate individuals who believe in the power of remote work and the strength of inclusivity. As a remote-first company, we embrace the boundless possibilities of collaboration and flexibility, allowing our team members to thrive from anywhere in the US.

HONK is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions at HONK are based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by law.

Note: HONK does not work with third-party recruiters or staffing agencies for this role. Please be aware of recruiting scams and fraudulent outreach impersonating employers online. All communication regarding this opportunity will come directly from the HONK team through official company channels.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Data Analytics Business Analyst, Card Portfolio Analytics at Blend

Analyzes card portfolio performance, maintains reports and dashboards, and translates data into actionable business insights for stakeholders.

Mid Remote Posted 2 days ago RemoteFirstJobs Product
What this role involves

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients.

Job Description

Our Fortune 100 financial services client is seeking a Business Analyst, Card Portfolio Analytics, to provide dedicated analytics and reporting support for a community financial institution’s card portfolio, with a particular focus on a new card program.  This role will develop a deep understanding of the portfolio and serve as a trusted business partner for reporting, analytics, and ongoing business questions related to the card program.

The ideal candidate brings a combination of strong business analysis and reporting capabilities, card-service knowledge, sound business judgment, and the ability to translate data into practical recommendations.  This is a highly collaborative, business-facing role that requires someone who can work independently while partnering closely with stakeholders to understand needs, identify trends, and improve how portfolio information is reported and used.

The Details:

  • Location: Fully remote within U.S. (Must work Pacific or Mountain Time)
  • Duration: Approximately a 9-month consulting role with the possibility of extension (must be able to work on Blend’s W2 without sponsorship)
  • Benefits: We do offer benefits to our full-time consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Pretax Commuter Benefits, and an incredibly supportive team cheering you on!

What you’ll do:

Card Portfolio Analytics & Reporting

  • Provide ongoing analytics and reporting support for a card portfolio, with a particular focus on a new card program.
  • Develop a strong understanding of portfolio performance, business objectives, and stakeholder needs to provide meaningful analytical support.
  • Develop, refine, and maintain recurring business reports and dashboards.
  • Respond to ongoing business questions by researching data, analyzing results, and translating findings into clear business insights.
  • Analyze portfolio performance, trends, and key drivers to identify opportunities, challenges, and areas requiring additional attention.
  • Present findings through clear reports, presentations, and business recommendations tailored to the needs of business stakeholders.

Business Analysis & Thought Partnership

  • Partner with business stakeholders to understand questions, objectives, and reporting needs and translate them into actionable analysis.
  • Apply sound business judgment when interpreting data and determining the practical implications of findings.
  • Translate quantitative information into clear, data-informed recommendations that can support business decision-making.
  • Serve as a trusted thought partner to stakeholders by proactively identifying trends, opportunities, and potential areas for improvement.
  • Develop a deep understanding of the card portfolio and use that knowledge to provide context beyond simply reporting the numbers.

Reporting Optimization

  • Evaluate existing reports and reporting processes to identify opportunities to simplify, streamline, and improve recurring deliverables.
  • Help transform lengthy or complex reporting into more efficient, user-friendly, and actionable formats.
  • Identify opportunities to reduce manual effort and improve consistency across recurring reporting processes.
  • Where appropriate, collaborate with stakeholders and technical partners to explore opportunities for reporting automation or process improvements.

Stakeholder Collaboration

  • Work closely with business stakeholders and cross-functional partners to understand priorities and deliver timely analytical support.
  • Manage multiple requests and priorities while maintaining accuracy, quality, and responsiveness.
  • Communicate analytical findings clearly to both analytical and non-technical audiences.
  • Build strong working relationships and establish credibility through reliable follow-through, attention to detail, and practical business insight.
  • Work independently while knowing when to ask questions, seek additional context, or escalate an issue.

Qualifications

Education & Experience

  • 5+ years of experience in business analysis, data analysis, reporting, card services, card operations, or a related field.
  • Experience working with business reporting and analyzing quantitative information to identify trends, performance drivers, and meaningful business implications.
  • Strong knowledge of payments, card services, card operations, or card portfolio management.
  • Experience developing, refining, and maintaining business reports.
  • Experience supporting a card-product launch, portfolio optimization initiative, or similar business initiative is a plus.
  • Experience working with DataChoice, First Data, or Symitar is strongly preferred.
  • Experience simplifying or automating recurring reporting processes is a plus.

Analytical & Technical Skills

  • Advanced Microsoft Excel skills.
  • Strong data analysis capabilities, including the ability to interpret results, identify trends, and determine practical business implications.
  • Ability to translate data into clear, actionable business recommendations.
  • Strong attention to detail and accuracy when working with reports and quantitative information.
  • Experience with Microsoft Copilot or similar AI-enabled productivity tools is strongly preferred.
  • Exposure to AI coding or development-assistance tools is a plus, but hands-on software development experience is not required.

Business & Communication Skills

  • Strong business judgment and the ability to connect analytical findings to broader business objectives.
  • Excellent written and verbal communication skills, including the ability to explain analytical findings to non-technical stakeholders.
  • Strong organizational and time-management skills with the ability to manage competing priorities and ongoing business requests.
  • Ability to work independently while collaborating effectively with business stakeholders and cross-functional teams.
  • Highly detail-oriented, proactive, dependable, and comfortable taking ownership of deliverables.
  • Strong problem-solving skills and a practical, business-focused approach to analysis.

Additional Information

The targeted pay range for this role is $60.00-65.00 per hour.  Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.

A diverse workforce is a strong workforce

To deliver growth at BLEND360 and for our clients, we believe as a Talent Solutions Company, we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history, our growth, and continues to have a profound impact on our success.  We are determined to have equality in the workplace, within our team and as an extension of our clients’ team.

BLEND360 is an equal opportunity employer.

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Data Analytics Manager, People Analytics

Manages people analytics initiatives, transforming workforce data into products and insights that support HR and business decisions.

Mid Posted 2 days ago Jobicy AI
What this role involves
The Workplace Engineering function sits at the intersection of traditional HR analytics and modern Product Engineering. We transform raw workforce data into a suite of “People Products” that drive high...
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