Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own “inflection point,” where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of 66degrees

66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world’s leading brands transform their business challenges into opportunities and shape the future of work.

At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

We are looking for a Databricks Tester with 3–5 years of experience in data testing and validation. The ideal candidate should have hands-on experience validating data pipelines and Databricks Delta tables, ensuring data accuracy, completeness, and consistency. The role requires strong SQL skills, experience with Databricks, and proficiency in defect management using JIRA.

Responsibilities

• Validate data in Databricks Delta tables across Bronze, Silver, and Gold layers.
• Perform source-to-target data validation and reconciliation.
• Verify data transformations, business rules, and aggregation logic.
• Execute SQL queries to validate data accuracy, completeness, consistency, and integrity.
• Validate schemas, data types, null values, duplicate records, and primary key constraints.
• Perform regression, integration, and end-to-end testing for data pipelines.
• Create, execute, and maintain test cases and test scenarios based on business requirements.
• Log, track, and manage defects using JIRA, and work closely with Data Engineers to resolve issues.
• Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives.
• Prepare test execution reports and communicate testing status to stakeholders.

Qualification

• 3–5 years of experience in Data Testing, ETL Testing, or Data Validation.
• Hands-on experience with Databricks and Delta Lake.
• Strong proficiency in SQL for data validation and reconciliation.
• Experience validating ETL/ELT pipelines and data transformations.
• Knowledge of Spark SQL and Databricks notebooks.
• Experience with JIRA for defect tracking and test management.
• Understanding of data warehousing concepts and relational databases.
• Experience working in Agile/Scrum environments.
• Strong analytical, troubleshooting, and communication skills.

Preferred Skills

• Basic knowledge of PySpark and Python
• Experience with Azure Databricks.
• Experience with ETL testing.
• Exposure to Azure DevOps or Git for version control.
• Familiarity with data quality frameworks and test automation tools.

Core Validation Activities

• Source-to-target reconciliation
• Row count and record count validation
• Schema and data type validation
• Null, duplicate, and uniqueness checks
• Business rule validation
• Incremental and full load validation
• Delta table validation
• End-to-end data pipeline testing
• Defect logging and tracking using JIRA

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

AI Transparency & Disclosure

As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.

These tools augment our process, but we “Commit to Our Craft” by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us “Win Together” in finding the best fit for our team.

Join Our TeamOowlish, one of Latin America’s rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.As a valued member of Oowlish, you...

Join Our TeamOowlish, one of Latin America’s rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.As a valued member of Oowlish, you...

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

We are looking for a curious, data-driven HR Analyst passionate about process optimization and excited by the potential of AI and automation to transform how HR operates.

You will report to the Senior HRBP and HR Transformation Manager and partner with team members and HRBPs to support a variety of existing HR activities. Additionally, you will play an important part in leading changes that increase the team’s efficiency and productivity. These changes include bringing new ideas, experimenting with tools, and helping the team become more data-driven and AI-fluent.

What you’ll do

• Use data to analyze workforce trends, uncover insights, and inform HR and business strategies
• Improve dynamic dashboards (e.g., Power BI) to deliver real-time visibility into main metrics such as turnover, headcount, engagement, and diversity
• Translate complex data into clear, applicable insights and themes for HR Partners.
• Respond to data requests while identifying opportunities to deliver deeper, predictive, or automated insights
• Partner with HR Centers of Excellence to adopt and scale modern HR analytics and AI-driven capabilities
• Implement process improvements by using automation and AI tools to increase efficiency and reduce manual work
• Champion a data-driven and AI-fluent culture within the HR team by exploring new tools, testing ideas, and sharing best practices
• Support onboarding and offboarding processes, including analyzing exit data to identify trends and opportunities for improvement

Qualifications

What your background is

• An undergraduate degree in Business Administration, Data Analytics, Human Resources, Organizational Leadership, Development or Effectiveness preferred or equivalent combination of education and related experience
• 2+ years related experience within a range of HR disciplines
• Experience working with data, reporting, and visualization tools (Power BI)
• Expertise in Excel, being able to create and consolidate data, pivot tables, build dashboards and automated templates.
• Curiosity and interest in AI, automation, and new technologies.
• Advanced English communication skills.

Additional Information

Our uniqueness is that we celebrate yours. Experian’s people first, inclusive and purpose driven culture is multi award-winning; World’s Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.

This is a fully remote job opportunity.

Recruitment Fraud Awareness- Experian’s recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.

Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

#LI-Remote

About Valdera:

At Valdera, we empower innovators to turn ideas into reality by transforming how manufacturers source materials. We make it effortless for companies to find the best materials and suppliers for their needs, enabling them to build high-quality products at scale and deliver them to millions of consumers worldwide.

We are a team of ambitious, results-driven individuals with a proven track record of working with Fortune 500 industrial manufacturers, beauty brands, and chemical companies. We are a fast-growing company that hires talented, hardworking people who excel in high-performance environments and want to grow their careers quickly.

Our culture is built for exceptional individuals to take on meaningful challenges, collaborate with the top minds in our industry, and see the direct impact of their work. If you’re looking for a fast-paced environment where your ideas will drive real change, Valdera is the place for you.

Join us, and let’s shape the future of manufacturing together.

Role Description:

We are hiring a C hemical Data Scientist to build and maintain the pipelines that keep Valdera’s supplier and chemical product data accurate, current, and structured — the foundation every buyer and supplier relies on across Valdera’s procurement platform.Data quality plays a critical role at Valdera. When a buyer launches a request, they expect to be matched with the right suppliers and accurate specs on the first try. Delivering that depends on clean, current data — CAS numbers, specifications, certifications, and regulatory documents pulled from thousands of inconsistent, often messy sources. This requires strong data engineering fundamentals and a working knowledge of chemical industry data. For example, you might take dozens of differently structured chemical supplier catalogs and turn them into one clean, standardized product databaseYou will take ownership of the full data pipeline — from scrapers and ETL workflows to data cleaning, matching, and classification models that connect suppliers to buyer requirements. You’re energized by messy, real-world data and confident partnering with Supplier Management and Engineering to close coverage gaps. As a data-obsessed professional, you’re dedicated to the accuracy our buyers and suppliers depend on.

Role Responsibilities:

• Design and build pipelines to collect supplier data and chemical product information (specifications, CAS numbers, certifications, SDS/regulatory documents, NAICS classification of manufacturing plants) from supplier sites, distributor catalogs, trade databases, and other public and semi-structured sources

• Develop and maintain web scrapers and automated ETL workflows to keep supplier and product data current at scale

• Clean, normalize, and reconcile inconsistent supplier data into structured, standardized formats suitable for internal tools and analytics

• Apply chemical domain knowledge to validate and enrich data — resolving product names, CAS numbers, synonyms, and specifications across suppliers

• Evaluate and improve matching and classification models to map suppliers and products to buyer requirements, and to identify overlapping or equivalent chemical offerings

• Partner with Supplier Management and Engineering to define data quality standards, identify gaps in supplier coverage, and prioritize new data sources.

• Own pipeline health and data quality, and drive the KPIs that measure overall data coverage

Experience & Qualifications:

• 5+ years of experience in a data science, data engineering, or applied data role, ideally with exposure to messy, real-world or industrial datasets.

• Working knowledge of chemistry or chemical industry data — comfort with CAS numbers, chemical properties, SDS documents, NAICS classification, and supplier certifications

• Strong Python skills, with experience building web scrapers and data pipelines

•  Experience with data cleaning and normalization at scale, and a good eye for spotting inconsistencies in unstructured data

• Familiarity with building or applying matching, deduplication, or classification models (traditional ML or LLM-based approaches)

• Hands-on experience using AI tools and LLMs to accelerate data extraction, enrichment, or engineering workflows

• Startup mindset with a strong sense of ownership — comfortable working independently in a fast-moving, remote environment with ambiguous, evolving priorities

Salary Range:

Salary ranges are determined by multiple factors, including the labor market, market compensation bands, internal parity, and budget considerations. The final offer will be based on the candidate’s individual skills, qualifications, location, and experience relative to the requirements of the role.

Benefits:

Valdera offers generous benefits to employees. You will be provided a more detailed breakdown of your options prior to joining Valdera.

Equal Opportunity Employer Statement:

Valdera is an equal-opportunity employer committed to building a diverse and inclusive team. We welcome applicants of all backgrounds and celebrate a culture that values varied perspectives, skills, and experiences. We are dedicated to maintaining a workplace free from discrimination, where everyone feels valued, respected, and empowered to contribute.

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.

About Valdera:

At Valdera, we empower innovators to turn ideas into reality by transforming how manufacturers source materials. We make it effortless for companies to find the best materials and suppliers for their needs, enabling them to build high-quality products at scale and deliver them to millions of consumers worldwide.

We are a team of ambitious, results-driven individuals with a proven track record of working with Fortune 500 industrial manufacturers, beauty brands, and chemical companies. We are a fast-growing company that hires talented, hardworking people who excel in high-performance environments and want to grow their careers quickly.

Our culture is built for exceptional individuals to take on meaningful challenges, collaborate with the top minds in our industry, and see the direct impact of their work. If you’re looking for a fast-paced environment where your ideas will drive real change, Valdera is the place for you.

Join us, and let’s shape the future of manufacturing together.

Role Description:

We are hiring a C hemical Data Scientist to build and maintain the pipelines that keep Valdera’s supplier and chemical product data accurate, current, and structured — the foundation every buyer and supplier relies on across Valdera’s procurement platform.Data quality plays a critical role at Valdera. When a buyer launches a request, they expect to be matched with the right suppliers and accurate specs on the first try. Delivering that depends on clean, current data — CAS numbers, specifications, certifications, and regulatory documents pulled from thousands of inconsistent, often messy sources. This requires strong data engineering fundamentals and a working knowledge of chemical industry data. For example, you might take dozens of differently structured chemical supplier catalogs and turn them into one clean, standardized product databaseYou will take ownership of the full data pipeline — from scrapers and ETL workflows to data cleaning, matching, and classification models that connect suppliers to buyer requirements. You’re energized by messy, real-world data and confident partnering with Supplier Management and Engineering to close coverage gaps. As a data-obsessed professional, you’re dedicated to the accuracy our buyers and suppliers depend on.

Role Responsibilities:

• Design and build pipelines to collect supplier data and chemical product information (specifications, CAS numbers, certifications, SDS/regulatory documents, NAICS classification of manufacturing plants) from supplier sites, distributor catalogs, trade databases, and other public and semi-structured sources

• Develop and maintain web scrapers and automated ETL workflows to keep supplier and product data current at scale

• Clean, normalize, and reconcile inconsistent supplier data into structured, standardized formats suitable for internal tools and analytics

• Apply chemical domain knowledge to validate and enrich data — resolving product names, CAS numbers, synonyms, and specifications across suppliers

• Evaluate and improve matching and classification models to map suppliers and products to buyer requirements, and to identify overlapping or equivalent chemical offerings

• Partner with Supplier Management and Engineering to define data quality standards, identify gaps in supplier coverage, and prioritize new data sources.

• Own pipeline health and data quality, and drive the KPIs that measure overall data coverage

Experience & Qualifications:

• 5+ years of experience in a data science, data engineering, or applied data role, ideally with exposure to messy, real-world or industrial datasets.

• Working knowledge of chemistry or chemical industry data — comfort with CAS numbers, chemical properties, SDS documents, NAICS classification, and supplier certifications

• Strong Python skills, with experience building web scrapers and data pipelines

•  Experience with data cleaning and normalization at scale, and a good eye for spotting inconsistencies in unstructured data

• Familiarity with building or applying matching, deduplication, or classification models (traditional ML or LLM-based approaches)

• Hands-on experience using AI tools and LLMs to accelerate data extraction, enrichment, or engineering workflows

• Startup mindset with a strong sense of ownership — comfortable working independently in a fast-moving, remote environment with ambiguous, evolving priorities

Salary Range:

Salary ranges are determined by multiple factors, including the labor market, market compensation bands, internal parity, and budget considerations. The final offer will be based on the candidate’s individual skills, qualifications, location, and experience relative to the requirements of the role.

Benefits:

Valdera offers generous benefits to employees. You will be provided a more detailed breakdown of your options prior to joining Valdera.

Equal Opportunity Employer Statement:

Valdera is an equal-opportunity employer committed to building a diverse and inclusive team. We welcome applicants of all backgrounds and celebrate a culture that values varied perspectives, skills, and experiences. We are dedicated to maintaining a workplace free from discrimination, where everyone feels valued, respected, and empowered to contribute.

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.

Headquarters: Brazil
URL: http://lawnstarter.com

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

The Role

You'll be the first person at LawnStarter dedicated to data governance - the owner of whether our data can be trusted. That means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself.

This is a hands-on role. You'll work solo at first, with the Analytics team around you but nobody under you - building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. If the scope grows the way we expect, this becomes the foundation of a team you'd build.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape - keep what works, redesign what doesn't, and your standards become the company's standards.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models - you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

What You'll Own

• Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen.
• Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours.
• Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal - people follow standards they've been taught - and so is keeping queries fast and warehouse costs sane.
• The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales.
• Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows.
• AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer.
• Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who - and which AI tools - can see what.
• The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics.

Problems to Solve

Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure - spaces, permissions, certification, naming - that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both.

Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics - one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both - extending coverage and keeping one-metric-one-definition true as the layer scales.

Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist - a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins - events drift and silently degrade when features change.

Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero - an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks - but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours.

What Success Looks Like (Year 1)

• Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem.
• Zero freshness incidents - stakeholders never open a stale dashboard.
• Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy.
• Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident.
• Governance runs as a system - documented processes that would survive you taking a month off.

Requirements

Who You Are

• Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy - you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work.
• AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go - one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually.
• A hands-on senior operator. You write the SQL, debug the Airflow DAG, and configure the permissions yourself - seniority here means judgment and speed, not delegation. This is unlikely to be a good fit if your last few years were spent directing others and you'd need a team to execute.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline.
• An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards - which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no.

This Role Is NOT

• A people-management role - yet. You'll work alone for a while. A team may grow under you if the scope demands it, but if you need direct reports on day one, this isn't it.
• A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it - with code, config, or a conversation.
• A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well.
• A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here.

Tech You'll Touch

• Warehouse & pipelines - Redshift, dbt, Airflow
• Event tracking - Segment
• BI - Lightdash (primary), Tableau and Metabase (sunsetting)
• AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient
• Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it

You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale.

Benefits

Compensation & Benefits

• Base salary: $75k-$100k/year
• Equity: The whole company makes decisions on the data you'll guard. When data trust goes up, decision quality, and company value, go up with it. We want you to own a piece of that.
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm.
• Flexible PTO: We focus on results. Take what you need.

LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment.

To apply: https://weworkremotely.com/remote-jobs/lawnstarter-data-governance-platform-manager

Company Description

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate.

Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies.

Job Description

Position Summary: The Financial Systems Analyst is responsible to manage the financial coding in the Eurofins Environment (USA) Laboratory Information management System and ensures continued alignment between sales invoicing and the accounting system. Responsible for checking and adding new coding to the financial coding portal.  Duties include financial analysis and modeling, system maintenance, data management, report creation and the tie-out checking across different software solutions (such as LIMS and accounting system).  Plays a critical part in providing integrated systems planning and recommends new or different technologies which will enhance current systems and support overall business goals. This position requires excellent technical skills and proven attention to detail, process, and discipline within a lab or production environment.

This is a hybrid role. Will work 2-3 days per week in the office in Lancaster, PA with the rest of the work week remote. Must live within a commutable distance of Lancaster, PA. No relocation assistance is provided. Must also be authorized to work in the United States without restriction or sponsorship needed now or in the future.

Essential Duties and Responsibilities:

• Strong familiarity with accounting for sales and intercompany transactions.
• Degree in accounting, finance or information systems
• Demonstrable knowledge of SQL and Power BI
• Knowledge of Oracle EPM or Hyperion is a plus
• Make value-added recommendations to build and maintain SQL queries to support data tie-outs between systems and automation needs.
• Provides integrated systems planning and recommends new or different technologies which will enhance current systems and support overall business goals.
• Automates the tie-out of Invoicing from the LIMS system with the accounting software invoiced sales
• Acts as the primary liaison between Finance and IT Solutions teams to ensure financial systems align with organizational needs, functional requirements, and technical standards
• Performs other duties as required and/or assigned

Qualifications

Basic Minimum Qualifications (BMQ):

Education/Experience (BMQ):

BS/BA in Computer Science or related discipline required. 5+ years of experience in a corporate IT solutions role, preferably supporting or customizing financial systems. Strong analytical skills, applied to both IT applications and finance processes design.

Ability and/or Skills (BMQ):

• Several years of experience with SQL and a strong understanding of accounting for sales and intercompany transactions
• Experience with creating tie-outs of data between operational and finance systems is preferred.
• Experience sitting between Finance/Accounting and IT departments
• Demonstrated experience leading cross-functional initiatives across Finance, IT, and the business.
• Good business acumen
• Strong written and verbal communication skills
• Analytical skills
• Time management skills
• Organizational skills
• Ability to work independently

Additional Information

Requirements:

• Authorization to work in the United States indefinitely without restriction or sponsorship
• Professional working proficiency in English is a requirement, including the ability to read, write and speak in English

Position is full-time, Monday - Friday 9:00am - 5:00pm. Candidates currently living within a commutable distance of Lancaster, PA are encouraged to apply.

Pay range: $80,000 - 90,000/yr

Eurofins Environment Testing (USA) provides a compensation range for informational purposes, the actual base salary may vary based upon, but not limited to, relevant experience and skill set, base salary of internal peers, business sector, and geographic location.

As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. we offer excellent benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays, paid time off, and dental and vision options.

*The benefits package offered will vary based on the employee’s full-time or part-time regular status.

To learn more about Eurofins, please explore our website www.eurofinsus.com .

We support your development! Do you feel you don’t match 100% of the requirements? Don’t hesitate to apply anyway! Eurofins companies are committed to supporting your career development.

We embrace diversity! Eurofins network of companies believe in strength and innovation through diversity, being an Equal Opportunity Employer. We prohibit discrimination against employees or applications based on gender identity and/or expression, race, nationality, age, religion, sexual orientation, disability, and everything else that makes employees of Eurofins companies unique.

Sustainability matters to us! At Eurofins, we believe sustainability is at the heart of everything we do. Guided by our vision to be the Global Leader in “Testing for Life,” our mission to contribute to a healthier and safer world, and our core values, we are building a strong foundation for Environmental, Social, and Governance (ESG) initiatives. Eurofins’ commitment to sustainability begins within our own companies through a shared responsibility to people and the planet. With climate change posing an imminent threat, Eurofins and its many companies recognize their duty to proactively reduce or offset the environmental impact of essential operations while also helping our clients do the same—serving as a true ESG Enabler.

Find out more in our career page: https://careers.eurofins.com/

Company description: Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate.

The Eurofins network of companies is the global leader in food, environment, pharmaceutical and cosmetic product testing and in discovery pharmacology, forensics, advanced material sciences and Eurofins Scientific 2⁄2 March 2023 agroscience contract research services. It is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. It also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products.

In over 35 years, Eurofins has grown from one laboratory in Nantes, France to 61,000 staff across a decentralised and entrepreneurial network of ca. 900 laboratories in 61 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products.

In 2025, Eurofins generated total revenues of EUR 7.296 billion, and has been among the best performing stocks in Europe over the past 20 years.

Eurofins USA Environment Testing is a Disabled and Veteran Equal Employment Opportunity employer.

Earnest empowers ambitious professionals to make confident financial decisions and build the life they envision.

Earnies are committed to helping borrowers move forward with confidence by offering smarter borrowing options with a clearer path to taking control of their debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together.

Title: Data Scientist

Duties:

• The Data Scientist at Earnest LLC in Oakland, CA will guide product recommendations and model development, and communicate analyses and insights to the Data team and broader organization.
• Develop and maintain predictive machine learning (ML) models to assess potential risks and opportunities across Earnest’s lending products, contributing to the enhancement of risk and marketing assessment procedures.
• Participate in the end-to-end ML pipeline, spanning from data collection to model deployment. This includes collaborating with data and infrastructure engineers to automate training and monitoring using BI tools and writing ETL pipelines to source data for model training from various sources such as Earnest or Navient data warehouses, production databases, third-party providers, and publicly available datasets.
• Conduct experimentation and execute causal inference analyses on pricing, marketing, and product models to optimize product conversion rates.
• Write code for inferential models that guide product and underwriting decisions, and document modeling decisions through Confluence or GitHub Readme files.
• Collaborate closely with cross-functional teams and stakeholders to accelerate solution iteration and achieve measurable outcomes.
• Articulate model impacts and analytical insights through presentations and reports, draft recommendations to optimize product and underwriting policies, and provide guidance and mentorship on modeling best practices to peers on the team.
• Position is 100% remote. Salary: $194,834 per year.

Requirements:

• Master’s degree in Data Science, Statistics, Business Analytics, or a related field, plus 4 years of experience as a Data Scientist or related occupation.
• Must have 2 years of experience with each of the following: (1) designing and implementing machine learning models, including regression, classification, and forecasting for applications including underwriting, propensity, or collections models; (2) SQL, Python, and R for data analysis, modeling, and automation; (3) product analytics and experimental design, including A/B testing and causal inference; (4) building, testing, and deploying scalable data pipelines and production-ready models using statistical and ML methods; (5)  researching and resolving data-related issues within the Financial Services, E-commerce, or Fintech sectors to drive informed decision-making and optimize business processes.

This notice is subject to Earnest LLC’s employee referral program.

Interested candidates can online at www.earnest.com/careers [earnest.com] or send a resume to directrecruiting@earnest.com and reference job code 065. Contact Chayna Eno at people@earnest.com if you have questions or need information about this application.

Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits, including:

• Health, Dental, & Vision benefits plus savings plans
• Mac computers + work-from-home stipend to set up your home office
• Monthly internet and phone reimbursement
• Employee Stock Purchase Plan
• Restricted Stock Units (RSUs)
• 401(k) plan to help you save for retirement plus a company match
• Robust tuition reimbursement program
• $1,000 travel perk on each Earnie-versary to anywhere in the world
• Competitive days of annual PTO
• Competitive parental leave

What Makes an Earnie:

At Earnest, our people bring our cultural principles to life. These principles define how we work, how we win, and what we expect of ourselves and each other:

• Every Second Counts: Speed is our competitive advantage. Our customers need better solutions, and the faster we execute, the greater our chance of success.
• Choose To Do Hard Things: We win by tackling the hard things that others avoid, fueled by grit and resilience.
• Pursue Excellence: Great companies, teams, and individuals never settle and are proud of the work that they do. What’s good enough today won’t be good enough tomorrow. Excellence isn’t a destination; it’s a mindset of continuous improvement.
• Lead Together: Our success comes from how we work together. Leadership is not about titles—it is about action. We take ownership, drive results, and move forward as a team.
• Don’t Take Yourself Too Seriously: We take our work seriously, not ourselves. The stakes are high, but a sense of humor keeps us grounded, creative, and resilient.

At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for.

Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.

Earnest empowers ambitious professionals to make confident financial decisions and build the life they envision.

Earnies are committed to helping borrowers move forward with confidence by offering smarter borrowing options with a clearer path to taking control of their debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together.

Title: Data Scientist

Duties:

• The Data Scientist at Earnest LLC in Oakland, CA will guide product recommendations and model development, and communicate analyses and insights to the Data team and broader organization.
• Develop and maintain predictive machine learning (ML) models to assess potential risks and opportunities across Earnest’s lending products, contributing to the enhancement of risk and marketing assessment procedures.
• Participate in the end-to-end ML pipeline, spanning from data collection to model deployment. This includes collaborating with data and infrastructure engineers to automate training and monitoring using BI tools and writing ETL pipelines to source data for model training from various sources such as Earnest or Navient data warehouses, production databases, third-party providers, and publicly available datasets.
• Conduct experimentation and execute causal inference analyses on pricing, marketing, and product models to optimize product conversion rates.
• Write code for inferential models that guide product and underwriting decisions, and document modeling decisions through Confluence or GitHub Readme files.
• Collaborate closely with cross-functional teams and stakeholders to accelerate solution iteration and achieve measurable outcomes.
• Articulate model impacts and analytical insights through presentations and reports, draft recommendations to optimize product and underwriting policies, and provide guidance and mentorship on modeling best practices to peers on the team.
• Position is 100% remote. Salary: $194,834 per year.

Requirements:

• Master’s degree in Data Science, Statistics, Business Analytics, or a related field, plus 4 years of experience as a Data Scientist or related occupation.
• Must have 2 years of experience with each of the following: (1) designing and implementing machine learning models, including regression, classification, and forecasting for applications including underwriting, propensity, or collections models; (2) SQL, Python, and R for data analysis, modeling, and automation; (3) product analytics and experimental design, including A/B testing and causal inference; (4) building, testing, and deploying scalable data pipelines and production-ready models using statistical and ML methods; (5)  researching and resolving data-related issues within the Financial Services, E-commerce, or Fintech sectors to drive informed decision-making and optimize business processes.

This notice is subject to Earnest LLC’s employee referral program.

Interested candidates can online at www.earnest.com/careers [earnest.com] or send a resume to directrecruiting@earnest.com and reference job code 065. Contact Chayna Eno at people@earnest.com if you have questions or need information about this application.

Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits, including:

• Health, Dental, & Vision benefits plus savings plans
• Mac computers + work-from-home stipend to set up your home office
• Monthly internet and phone reimbursement
• Employee Stock Purchase Plan
• Restricted Stock Units (RSUs)
• 401(k) plan to help you save for retirement plus a company match
• Robust tuition reimbursement program
• $1,000 travel perk on each Earnie-versary to anywhere in the world
• Competitive days of annual PTO
• Competitive parental leave

What Makes an Earnie:

At Earnest, our people bring our cultural principles to life. These principles define how we work, how we win, and what we expect of ourselves and each other:

• Every Second Counts: Speed is our competitive advantage. Our customers need better solutions, and the faster we execute, the greater our chance of success.
• Choose To Do Hard Things: We win by tackling the hard things that others avoid, fueled by grit and resilience.
• Pursue Excellence: Great companies, teams, and individuals never settle and are proud of the work that they do. What’s good enough today won’t be good enough tomorrow. Excellence isn’t a destination; it’s a mindset of continuous improvement.
• Lead Together: Our success comes from how we work together. Leadership is not about titles—it is about action. We take ownership, drive results, and move forward as a team.
• Don’t Take Yourself Too Seriously: We take our work seriously, not ourselves. The stakes are high, but a sense of humor keeps us grounded, creative, and resilient.

At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for.

Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the role:

As part of our Operations team, the PLM Data Analyst owns our product lifecycle management processes to support our product, engineering development and sustaining manufacturing initiatives. This position demands a robust understanding of the Propel PLM platform, focusing on data management, configuration, and integration within our flexible operational framework. The successful candidate will ensure that our PLM system matches real-world production and customer shipment configurations, facilitating efficient and effective product development and lifecycle management.

This is a remote role open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. Youwill be surrounded by a high-calibre team that will encourage you to do your best.

In this role, you will:

• Providing day-to-day support of the PLM tool and product community, ensure consistency of material master data fields in PLM with other business management systems, validate product data, BOMs, Operations and Financial Planning requirements, collaborate with PLM vendor support team and monitor and review system performance.
• Ensure the Propel PLM system is seamlessly integrated into our operations, supporting product, engineering, manufacturing, and supply chain processes.
• Maintain the PLM system’s performance, security, and reliability as the system of record for all products.
• Ensure the accuracy, consistency, and security of PLM data across all platforms.
• Develop and implement data management practices to improve data quality and accessibility.
• Tailor the PLM system to meet operational needs, implementing workflows, user roles, and data structures that support our rapidly evolving manufacturing and engineering processes.
• Work closely with the Operations, Engineering, Business Technology and Product teams to ensure the PLM system enhances our operational capabilities and supports cross-functional initiatives.
• Equip operational teams with the necessary training and support to utilize the PLM system fully, enhancing user adoption and system utility.
• Drive continuous improvement by analyzing system usage, gathering feedback from operational teams, and implementing enhancements to support evolving business needs.
• Lead PLM-related projects within the Operations team, managing timelines, resources, and deliverables to achieve project objectives.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, with a strong understanding of operational processes.
• 3+ years of direct experience with deploying and managing PLM systems, preferably within an operations or manufacturing context.
• Demonstrated ability to integrate PLM systems with other operational technologies (ERP, CRM, planning systems, and offline spreadsheets).
• Knowledge & familiarity working with CAD drawings, Gerbers, Schematics, and other hardware design documentation.
• Strong problem-solving skills and the ability to manage complex system issues.
• Effective communication and collaboration skills, with experience working in cross-functional teams and external vendors.
• Willingness to get into the details, including but not limited to day-to-day system maintenance to accurately reflect the SKU portfolio.
• A positive mindset in a rapidly changing environment.

An ideal candidate also has:

• Propel PLM administration certifications.
• Knowledge of Salesforce, upon which Propel is built, is highly advantageous.
• Ability to comprehend business needs and convert them into technical requirements documents.
• Experience with programming for custom solutions (Apex, Visualforce, JavaScript).
• Familiarity with Agile and Scrum project management methodologies.
• Proven track record of successful project management.

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.

Annual Base Salary

$62,772—$94,950 USD

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.

Our Commitment to Authenticity

We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

At GFiber, we believe that great internet has the power to drive innovation, strengthen communities, enable the impossible, and do all the everyday things that make all of our world go round. And the job of creating better internet is never done - so we’re growing! Our team is committed to building a place where people who want to make a difference can grow their careers and find their spot to belong.

GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States. Our teams are expanding as we connect more cities and people to exceptional internet.

The application window will be open until at least July 19th, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

Area Description

GFiber’s mission is to deliver abundant internet on networks that are always fast and always open with products that are easy to understand and clearly priced. We believe customers deserve a better internet experience and everything we do is focused on providing just that. On our team, you’ll work in an environment that’s redefining the status quo in the Internet industry. Within the Data Community team, you’ll do everything from data engineering, scripting, visuals, insights, data science, and more.

Role Description

As a Data Analytics Engineer for GFiber, you will be working with multiple stakeholders across the organization to provide quantitative support, define metric rules and logic, deliver useful tables and reports, model business scenarios, and solve a wide range of business problems. To do so, you will be expected to create new pipelines from scratch, merging broad financial and ERP data sets together into a cohesive technical infrastructure. You will be responsible for engineering foundational table resources using Google Cloud Platform (GCP): BigQuery, Dataform, LookML, Dataplex, etc. The pipelines, metrics, tools, and analyses you develop will be used by our leaders to make strategic decisions and serve as a key input in decision-making.

In this role, you’ll:

• Create foundational pipelines and data extractions with large data sets using SQL and other GCP technologies demonstrating comfort with software-engineering-level best practices and approaches to data pipelines and management.
• Work with large, complex data sets to solve difficult analysis problems, assess the impact of initiatives, and create on-going tooling/resources to run the business.
• Collaborate with cross-functional partners to understand business context for solutions, analysis, and tooling needed to become the single point of contact for all financial data engineering questions.
• Undertake specific tasks, bugs, and maintenance work. Additionally, own complex projects, proving mastery through accuracy, timeliness, and volume of work, with minimal guidance.

At a minimum we’d like you to have:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in analytics, data science, and/or computer science engineering.
• 5 Years of experience with using SQL, writing queries from scratch on a daily basis, data engineering, architecture, pipeline management, and Extract, Transform, Load (ETL).
• Expertise using GCP tools.

It’s preferred if you have:

• Experience in HTML, Python, or other coding languages.
• Experience using data to identify opportunities for business improvement and defining/measuring the success of those initiatives.
• Ability to use written and verbal communication to build relationships with cross-functional partners and conduct presentations for stakeholders, including executive leadership.
• Ability to engage with PMO teams to prioritize, provide level of effort estimations, manage bug queues and bandwidth.

The US base salary range for this full-time position is between $105,600 - $154,900 + bonus + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

#LI-DNI

GFiber is committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, citizenship, marital status, disability or Veteran status. Disclosure is voluntary, and this information will be kept confidential in compliance with Google’s Candidate Privacy Policy. For more information please refer to our Equal Employment Opportunity Policy and the EEOC’s “Know your rights: workplace discrimination is illegal” (PDF).

It’s important to us to create an accessible, inclusive workplace for everyone. If you have a need that requires accommodation, please let us know by completing ouraccommodations for applicants form. Our candidate accommodations team will then connect with you to confidentially discuss your options.

OVERVIEW

A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility – and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide.

Across our organization, we’re building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR . This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR.

Application Deadline: Please submit your application by 11:59 pm EST Wednesday, July 22nd, 2026

Intro to Position

You will be critical to building a new, leaner, audience-centric, data-driven app that could serve NPR and partnering stations in multi-modal formats. We will drive a significant increase in weekly audience and known users, and build engaging experiences that deepen daily habits, increase listening hours, and maximize revenue yield.

What your role is: As the Insights Analyst, you will support data-informed decision making for NPR’s new audience-centric app. You will be the main point of contact to make measurement plans for, implement, and QC analytics tags on NPR’s owned and operated platforms.  Your responsibilities also include extracting insights from complex data sets, creating visualizations, and managing relationships with NPR teams across the organization. As a key member of the Audience Insights team, you’ll work closely with digital product teams, the newsroom, and leaders at NPR and our member stations nationwide. Your expertise will be used to help us build a new, leaner, audience-centric, and data-driven app that serves NPR and partnering stations across multi-modal formats.  You have a unique blend of thoughtful, data-driven curiosity and pragmatism. You know how to make data come to life and be actionable. And you love the idea of using data to make NPR (and the world) a better place.

Reports to the Audience Insights Manager, Product.

This is a union-represented role covered under the terms of a collective bargaining agreement with NABET-CWA DMU.

Responsibilities

• This role will support product analytics needs for the NPR App, site, and video, and work closely with the Insights Sr Manager of product analytics.
• Develop and manage measurement plans for NPR’s owned and operated platforms using Google Tag Manager, and QCing tags after implementation
• Independently write SQL queries to provide performance analytics across app, video, and website datasets
• Maintain primary relationships with stakeholders within Product to support daily analytics needs
• Partner closely with Data Products to consult on App dashboard and tool design based on stakeholder needs
• Partner with  a sustainable system of self-service for app analytics
• Support diagnosing and resolving data issues
• Streamline scheduled queries, data summaries, and other infrastructure
• Write guides and documentation for app, video, and website  analytics

The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time.

Required Skill and Qualifications

• 2+ years demonstrated expertise in SQL and databases
• Experience in BigQuery and/or Dataform
• 2+ years demonstrated expertise in Google Firebase data and app analytics
• Proven expertise with GA4 or similar large, raw datasets of digital behavior.
• 2+ years experience making measurement plans for and QCing tags using Google Tag Manager implementation standards
• Experience in Looker
• Proficiency in Excel or Google Sheets, including writing complex formulas, validating data, and automated reporting.
• Understanding of the life cycle of data tracking within videos, websites, and/or apps from tagging to analysis to inform measurement plans based on practical usage.
• Proven experience working with technical teams in a successful cross-department collaborative environment, in particular creating and executing measurement plans for digital products
• Proven expertise collaborating with team members and stakeholders to assess needs for dashboards and translating those needs into data infrastructure plans.
• Ability to initiate work independently with little supervision, as well as in a collaborative team environment.
• Self-starter with the ability to work in a constantly changing environment.
• Eagerness to contribute to team culture, providing input on standards, stakeholder management, team resources, etc.

Preferred Qualifications

• Experience in news media
• Proven experience in analyzing data and building statistical models using R or Python.
• Proven experience in identifying complex analytical issues that require cross-functional collaboration and building partnerships to solve them

Work Location & Requirements

• NPR Remote-Permitted: This is a remote-permitted role. This role is based out of our Washington, D.C. office, but the employee may choose to work on a remote basis from a location that NPR approves. You will have the option of working (a) remotely from a location of your choosing within the United States that is supported by NPR; (b) on-site at an NPR facility, based on the availability of desks and approval from NPR; or © a combination of both. Regardless of where you choose to work from, you may be expected to travel to other locations from time to time to perform the duties of your position.

Job Type

• This is a full-time, exempt position.

Compensation

Salary Range: The U.S.-based anticipated salary range for this opportunity is $91,276.23 to $98,294.51 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Benefits: NPR provides comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR’s benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees.

Does this sound like you? If so, we want to hear from you.

#LI-REMOTE

The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Pay Range

$91,276.23—$98,294.51 USD

NPR is an Equal Opportunity Employer. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal – to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law.

If you are a person with a disability needing assistance with the application process, please reach out to employeerelations@npr.org.

You may read NPR’s privacy policy to learn about how NPR may handle information you submit with any application.

Want more NPR? Explore the stories behind the stories on our NPR Extra blog. Get social with NPR Extra on Facebook and Instagram. Find more career opportunities at NPR.org/careers.

More than 135 years ago, we started with core values that never go out of style: listen, learn and help businesses and individuals reach their goals. These core values shape our culture, and we were recently Great Place to Work Certified because of our outstanding workplace culture and employee experience. As well, our financial strength and stability are key reasons Forbes named us one of the Best 100 Banks in America for the ninth consecutive year.

With more than $16 billion in assets and 135 branch locations throughout Washington, Oregon, Idaho, and California, we understand our role in the economy and take that responsibility seriously. In addition to offering a source of capital to personal banking clients and businesses of all sizes, we place a high importance on employee volunteerism and donate millions of dollars each year to community organizations.

As a Credit Analyst, you play a key role in helping the bank make sound, responsible lending decisions that support our clients and communities. Your analysis and insights help balance growth with risk, ensuring every credit decision is thoughtful, compliant, and well supported. This is a great opportunity to deepen your financial expertise while working alongside experienced banking professionals.

In this role you’ll

• Investigate credit and financial information for prospective and existing commercial clients.
• Analyze business and personal financial statements, tax returns, cash flow, collateral, and sources of repayment.
• Prepare credit approval packages, spreadsheets, summaries, and written analyses for loan decision makers.
• Support new, renewed, and existing loan requests ranging from simple to moderately complex.
• Ensure all work complies with internal policies, procedures, security requirements, and applicable regulations.

What we’re looking for

• You hold a Bachelor’s degree in Accounting, Business, Economics, Law, Computer Science, or a related field (Required).
• An equivalent combination of education and experience can be considered in lieu of a degree.
• You bring two or more years of related credit or financial analysis experience (Required).

What helps you shine

• You’re comfortable analyzing financial statements, tax returns, and cash flow with a strong grasp of basic accounting principles.
• You bring solid analytical thinking and sound judgment to every credit investigation.
• You can manage high volumes of work accurately while adapting to shifting priorities in a deadline-driven environment.
• You communicate clearly and professionally, both in writing and in conversation.
• You understand federal and state regulations related to commercial lending.
• You are proficient in Excel, Word, and other applicable systems.

Travel

• 0%

Our Company Values

• Do the right thing
• Mutual respect
• Teamwork
• Accountability

What Our Team Says

“I have the opportunity to learn and grow every day in my current role. I love the work life balance, knowing that we work hard, and strive for high performance but we are celebrated.”

Compensation & Benefits

• Targeted starting salary range (based on experience): $30.34- 39.98
• Annual incentive potential
• Comprehensive employee benefits, including: medical, dental, vision, LTD, STD and life
• Paid vacation time, sick time and 11 company paid holidays
• 401k (with up to 4% match)
• Tuition reimbursement

Review Banner’s employee benefits at: Employee Benefits | Banner Bank

Please take time to review Banner Bank’s Consent & Privacy notice before applying.

Banner Bank is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, marital status, age, disability or protected veteran status.

Banner Bank does not accept unsolicited resumes from agencies and/or search firms for any job postings. Resumes submitted to any Banner Bank employee by a third-party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Banner Bank. No fee will be paid if a candidate is hired for a position as a result of an unsolicited agency or search firm referral.

About V2

V2 Strategic Advisors is where velocity meets voltage - a boutique management and technology consulting firm that has spent 20+ years transforming media and advertising sales organizations. We’re the firm that global and high-growth organizations call when they need more than a strategy deck - they need results.

Our edge? We offer a rare blend of management consulting, data, analytics, AI, and systems integration - all under one roof, powered by best-in-class platforms including Salesforce, Databricks, Snowflake, HubSpot, and leading AI platforms like Claude and Gemini. We understand the nuances of our clients’ most complex challenges and deliver solutions that move the needle.

We’re a lean, elite team of consultants, technical architects, and data experts who operate with the rigor of global management consulting and systems integration consultancies and the energy and agility of a startup. We approach every day with a sense of purpose to deliver with excellence, grow our capabilities, and find fulfillment in what we do. If that sounds like your kind of environment, keep reading.

The Opportunity

V2’s data and analytics practice is growing, and we’re looking for a well-rounded, platform-diverse technical consultant to help us accelerate that growth. In this role, you’ll be cross-functionally aligned to multiple client engagements, leading and supporting the full delivery lifecycle from technical discovery through design, build, testing, deployment, and post-go-live support.

You’ll partner closely with Delivery leadership to drive internal and external conversations, build consensus around technical designs, translate business requirements into scalable data architectures, and present recommendations directly to V2 clients. This is a client-facing role that demands both engineering depth and the communication skills to make complex ideas land with senior stakeholders.

You bring strong opinions about how data should be structured, moved, and activated, and you know how to build solutions that serve real business outcomes. You thrive at the intersection of data engineering, advanced analytics, and applied AI, and you’re energized by fast-paced, high-expectations consulting environments. If you want to build something that matters with people who operate at a high standard, keep reading.

What you’ll focus on

Data engineering & pipeline development

• Design and build scalable data pipelines, transformation workflows, and ingestion frameworks across client environments using Python and SQL.

• Architect and implement data solutions on Databricks, including Delta Lake, Unity Catalog, and Lakeflow, and integrate with enterprise data warehousing platforms.

• Drive best practices for data modeling, pipeline reliability, performance tuning, and cost governance across engagements.

• Support data migration, integration, and platform modernization workstreams for media and advertising sales clients.

Analytics & business intelligence

• Partner with business stakeholders to translate complex data and reporting requirements into reliable, performant analytics solutions.

• Design data models that serve both operational reporting and strategic analytics use cases across prospect-to-cash workflows.

• Support BI tool integration and dashboard development, connecting data platforms to tools such as Tableau, Power BI, or Looker.

• Apply process mapping, measurement strategy, and analytical frameworks to identify optimization opportunities and deliver insight to clients.

AI integration & applied intelligence

• Advise clients on AI strategy and help identify where applied intelligence, including LLMs, RAG pipelines, and intelligent agents, can deliver meaningful business value.

• Build and support production AI solutions using platforms including Databricks Mosaic AI, Claude, Gemini, and OpenAI APIs.

• Stay current on emerging AI and ML capabilities and bring those patterns to client engagements and internal practice development proactively.

• Apply machine learning concepts to analytics workstreams where engagements call for it.

What you bring

Engineering depth. 5+ years of hands-on Python and SQL experience in production data engineering or analytics environments. You’ve built pipelines, governed data platforms, and shipped work that runs reliably at scale.

Platform fluency. Demonstrated experience with Databricks, Snowflake, or Google data warehousing platforms.  You don’t need to be an expert in every tool, but you need to be genuinely strong in your stack and fast to ramp on adjacent platforms.

AI and ML literacy. Hands-on experience working with AI tooling, Claude, Gemini, Cursor, or similar, and a working understanding of machine learning concepts. Experience building or integrating LLM-powered solutions is a meaningful differentiator.

Consulting instincts. 5+ years of consulting or technical delivery experience. You understand how engagements work, you can scope and structure a workstream, and you know how to build trust with senior client stakeholders under pressure.

Industry context. Meaningful exposure to media, advertising sales, or adjacent industries. You understand the commercial dynamics, the way these organizations sell, operate, and measure performance, and you bring that context into your technical recommendations.

Communication that lands. Strong facilitation, documentation, and presentation skills. You can lead a technical architecture discussion in the morning and present findings to a C-suite audience in the afternoon.

Broad platform awareness. Familiarity with enterprise CRM, middle-office cloud platforms, and adjacent data technologies is a plus. Exposure to Salesforce or advertising technology platforms is welcome but not required.

Cultural alignment. You operate with speed and agility, thriving in fast-paced, entrepreneurial environments. You hold yourself to a high standard — and you raise the bar for the people around you.

Why V2?

Because you won’t find another firm doing exactly what we do, and you won’t find another role like this one. You’ll be close to the action, building something real, with people who care deeply about doing exceptional work. V2 was built on the idea that consulting could be done better. We’re still proving it every day.

If you’re ready to bring the voltage, we want to hear from you.

Apply at: v2sa.com/careers

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.

Company Description

SmartRecruiters powers Superhuman Hiring™ by freeing talent acquisition teams from legacy applicant tracking software and equipping them with next-gen AI functionality. SmartRecruiters’ platform serves as the hiring operating system for 4,000 customers, including Bosch, LinkedIn, and Visa. Companies with business-critical hiring needs turn to SmartRecruiters for best-of-breed functionality, world-class support, and a robust ecosystem of third-party applications and service providers.

We are a values-driven, globally focused tech employer with strong financial backing. By solving the biggest problems, we focus our efforts on what matters most, driving real impact for our organization and customers. For the past three years, we’ve been recognized as a strategic leader in recruitment technology by Fosway Industry Analysts. In 2023 and 2024, we received prestigious awards from Comparably for being a top company for Women, Perks, and Benefits, Work-Life Balance, Happiness, Compensation, Diversity, Culture, and Company Outlook.

At our core, we commit and dig deep, embracing challenges with grit, curiosity, and a drive for excellence. We foster a collaborative and inclusive work environment, where trust and determination bring us together - because together, we will win. With competitive salaries, generous equity, and strong internal mobility, we ensure that high performers have meaningful growth opportunities. Our remote-friendly culture is welcoming, respectful, and built to empower every team member to thrive.

Job Description

Contract Type: 12-Month Fixed-Term Contract

We’re looking for a technical engineer to support our customers’ needs in an area of data migrations, integrations, custom reports, and automating manual processes for our teams. Our team stays ahead of challenging tasks of automating our current processes and helping our implementation team to automate theirs.

If you are looking for the place where you can have a real impact on the shape of business solutions, you are curious and like learning new, modern approaches and constantly optimizing processes, you have just found the right place, apply now!

The main goal of our Team is to make our customers happy and successful. We process data for them and provide data directly from public / internal APIs or databases to them or other teams.

What you will do:

• Perform data imports from various sources using Talend ETL tool, Python scripts and Public / Private APIs
• Perform data extracts and data dumps
• Build ability to create demo environments
• Build data import applications
• Build integrations between different, external web applications
• Improve and optimize data services processes
• Work closely with the Professional Services team based in San Francisco to address customers’ requests
• Become an expert in your area of interest and evangelize your colleagues

Qualifications

Qualifications

At least 2 years of experience with ETL tools (Talend preferred)

• At least 1 years of experience in professional programming (Python: pandas, requests, fastAPI, flask)
• Experience with databases (SQL, NoSQL)
• Experience with Git/Github, http(s) protocol, web applications security
• Experience in building integrations between different web applications
• Knowledge of different aspects of building RESTful web services
• Team player
• Fast learner and a passion for technology

Additional Information

SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. your information will be kept confidential according to EEO guidelines.

Job Description:A purposeful career is what you will find at Q-Centrix. Making a meaningful impact is what we do every day. Quality data abstraction has become critical in identifying positive patient outcomes as the healthcare industry shifts to value-based care. In fact, medical record abstraction is the preferred data collection method for clinical research, quality improvement, performance measurement, disease surveillance, and other secondary data uses. Our dedicated data abstractors, otherwise known here at Q-Centrix as Senior Clinical Data Specialists, SCDS uses Q-Centrix proprietary technology to contribute to healthcare’s most exciting advancements.

Job Summary:The Data Abstraction Specialist (SCDS - Senior Clinical Data Specialist) delivers quality solutions to hospital partners across the country. They approach each hospital engagement as an opportunity to apply their clinical expertise with precision to advance patient outcomes and research. Find your purpose by joining the Q-Centrix team to make a meaningful impact!

Main Duties/Responsibilities: Our Data Specialists are staffed with multiple hospital partners to…

• Apply specialized, clinical knowledge to hospital partners: categorize, code, summarize, interpret and calculate registry/case information from nuanced, patient medical records.
• Ensure quality submission of all data in specified registries or measure data repositories, maintaining a high accuracy threshold.
• Prioritize, organize, and meet tight deadlines for multiple concurrent tasks and team requests; uses tact and judgement to manage expectations, flag obstacles and propose solutions in a timely manner.
• Navigate new technical systems: electronic medical records (EMR) and registry/case entry tools; use team resources to troubleshoot technical issues with systems and applications with a focus on solutions.
• Contribute to team best practices, data dictionaries, abstraction guidelines, and other business rule documents; identifies process improvement opportunities to help streamline tasks and processes.
• Keeps up to date on mandated regulatory/publicly reported data requirements as specified by federal, state, payer and other agencies.
• Any or other additional responsibilities as assigned

Required Qualifications:

• At least of one direct abstraction experience in the Get With the Guidelines Stroke registry.
• Exposure to multiple patient medical record systems (EMRs) and clinical databases
• Intermediate proficiency with MS Office (Excel, Word, Teams, One Note, and SharePoint)
• Strong analytical and critical thinking skills to approach problems in a systematic method
• Demonstrates high standards for accuracy and attention to detail
• Demonstrates technical savvy and strong desire to learn new systems and technology
• Thrives working independently and takes ownership of projects/patient records
• Consistently and clearly communicates, adjusting style and tone as needed to effectively collaborate with hospital partners, peers, team leads and others
• Demonstrates strong self-organizational and time management skills to concurrently manage multiple accounts, adjusting as needed to shifting timelines and priorities
• Ability to adapt to changes in hospital partner timelines, requirements, and project assignments
• Maintains a high degree of responsibility in keeping PHI secure and confidential

Applicants for employment with Q-Centrix must be legally authorized to work in the United States now or in the future without sponsorship.

Preferred Qualifications:

• Direct clinical experience
• RN or LPN credentials

Total Rewards:

At Q-Centrix, our purpose—safer, consistent, quality healthcare for all—drives everything we do. To accomplish this important work, we need to attract, engage, and retain a talented team by providing a compelling, equitable rewards package comprised of an inclusive culture, flexible work environment, learning and development opportunities, competitive pay that rewards high performance, and robust benefits that support health and financial wellness. Add to this package a supportive community of people who help each other not only do meaningful work, but learn, grow, and have fun while doing so, and you get an organization that has earned the Great Place to Work distinction multiple years in a row!​

The target wage range for this role is $27.00 - $31.00 per hour. Individual wage rates within this range are based on multiple factors including but not limited to skills, experiences, licensure, certifications, and other business and organizational considerations. Wage ranges are reviewed, at minimum, annually and all team members are eligible for performance-based wage rate increases annually. The Q-Centrix compensation plan is productivity and accuracy focused, therefore, actual compensation could be higher or lower than target, dependent upon the team member’s performance.

In addition to our inclusive and innovative working environment and competitive pay, part-time* team members enjoy a fully remote work environment with a flexible schedule.

*Team members who are committed to work 29 hours or fewer each week are considered part-time

Commitment to Diversity, Equity, Inclusion and Belonging:

At Q-Centrix (An MRO Company), we hire people who love learning, value innovation, and believe in our purpose of safer, consistent, quality health care for all. We applaud qualified applicants who are accountable and committed to producing quality work. As an Equal Opportunity Employer, we support and value diversity, dignity, and respect in our work environment, and are committed to creating an inclusive environment in which everyone can thrive.

We employ people based on the needs of the business and the job, and their individual professional qualifications. Here’s what does not impact our employment decisions: race, religious creed, religion, color, sex, sexual orientation, pregnancy, parental status, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status, health, marital, civil union or domestic partnership status, or any status or characteristic protected by the laws or regulations in locations where we operate. If you are an individual with a qualified disability and you need an accommodation during the interview process, please reach out to your recruiter.

Candidate Privacy Statements

About V2

V2 Strategic Advisors is where velocity meets voltage - a boutique management and technology consulting firm that has spent 20+ years transforming media and advertising sales organizations. We’re the firm that global and high-growth organizations call when they need more than a strategy deck - they need results.

Our edge? We offer a rare blend of management consulting, data, analytics, AI, and systems integration - all under one roof, powered by best-in-class platforms including Salesforce, Databricks, Snowflake, HubSpot, and leading AI platforms like Claude and Gemini. We understand the nuances of our clients’ most complex challenges and deliver solutions that move the needle.

We’re a lean, elite team of consultants, technical architects, and data experts who operate with the rigor of global management consulting and systems integration consultancies and the energy and agility of a startup. We approach every day with a sense of purpose to deliver with excellence, grow our capabilities, and find fulfillment in what we do. If that sounds like your kind of environment, keep reading.

The Opportunity

V2’s data and analytics practice is growing, and we’re looking for a well-rounded, platform-diverse technical consultant to help us accelerate that growth. In this role, you’ll be cross-functionally aligned to multiple client engagements, leading and supporting the full delivery lifecycle from technical discovery through design, build, testing, deployment, and post-go-live support.

You’ll partner closely with Delivery leadership to drive internal and external conversations, build consensus around technical designs, translate business requirements into scalable data architectures, and present recommendations directly to V2 clients. This is a client-facing role that demands both engineering depth and the communication skills to make complex ideas land with senior stakeholders.

You bring strong opinions about how data should be structured, moved, and activated, and you know how to build solutions that serve real business outcomes. You thrive at the intersection of data engineering, advanced analytics, and applied AI, and you’re energized by fast-paced, high-expectations consulting environments. If you want to build something that matters with people who operate at a high standard, keep reading.

What you’ll focus on

Data engineering & pipeline development

• Design and build scalable data pipelines, transformation workflows, and ingestion frameworks across client environments using Python and SQL.

• Architect and implement data solutions on Databricks, including Delta Lake, Unity Catalog, and Lakeflow, and integrate with enterprise data warehousing platforms.

• Drive best practices for data modeling, pipeline reliability, performance tuning, and cost governance across engagements.

• Support data migration, integration, and platform modernization workstreams for media and advertising sales clients.

Analytics & business intelligence

• Partner with business stakeholders to translate complex data and reporting requirements into reliable, performant analytics solutions.

• Design data models that serve both operational reporting and strategic analytics use cases across prospect-to-cash workflows.

• Support BI tool integration and dashboard development, connecting data platforms to tools such as Tableau, Power BI, or Looker.

• Apply process mapping, measurement strategy, and analytical frameworks to identify optimization opportunities and deliver insight to clients.

AI integration & applied intelligence

• Advise clients on AI strategy and help identify where applied intelligence, including LLMs, RAG pipelines, and intelligent agents, can deliver meaningful business value.

• Build and support production AI solutions using platforms including Databricks Mosaic AI, Claude, Gemini, and OpenAI APIs.

• Stay current on emerging AI and ML capabilities and bring those patterns to client engagements and internal practice development proactively.

• Apply machine learning concepts to analytics workstreams where engagements call for it.

What you bring

Engineering depth. 5+ years of hands-on Python and SQL experience in production data engineering or analytics environments. You’ve built pipelines, governed data platforms, and shipped work that runs reliably at scale.

Platform fluency. Demonstrated experience with Databricks, Snowflake, or Google data warehousing platforms.  You don’t need to be an expert in every tool, but you need to be genuinely strong in your stack and fast to ramp on adjacent platforms.

AI and ML literacy. Hands-on experience working with AI tooling, Claude, Gemini, Cursor, or similar, and a working understanding of machine learning concepts. Experience building or integrating LLM-powered solutions is a meaningful differentiator.

Consulting instincts. 5+ years of consulting or technical delivery experience. You understand how engagements work, you can scope and structure a workstream, and you know how to build trust with senior client stakeholders under pressure.

Industry context. Meaningful exposure to media, advertising sales, or adjacent industries. You understand the commercial dynamics, the way these organizations sell, operate, and measure performance, and you bring that context into your technical recommendations.

Communication that lands. Strong facilitation, documentation, and presentation skills. You can lead a technical architecture discussion in the morning and present findings to a C-suite audience in the afternoon.

Broad platform awareness. Familiarity with enterprise CRM, middle-office cloud platforms, and adjacent data technologies is a plus. Exposure to Salesforce or advertising technology platforms is welcome but not required.

Cultural alignment. You operate with speed and agility, thriving in fast-paced, entrepreneurial environments. You hold yourself to a high standard — and you raise the bar for the people around you.

Why V2?

Because you won’t find another firm doing exactly what we do, and you won’t find another role like this one. You’ll be close to the action, building something real, with people who care deeply about doing exceptional work. V2 was built on the idea that consulting could be done better. We’re still proving it every day.

If you’re ready to bring the voltage, we want to hear from you.

Apply at: v2sa.com/careers

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.

About OnePay

OnePay is the consumer fintech trusted by millions of Americans to make money better.

Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.

We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.

We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.

But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:

• Ready to run

• Hungry and driven by urgency

• Exceptional at what they do, with low ego

• Comfortable operating in motion

The Role

As a member of the analytics team, you will bring order to vast amounts of internal and external data so OnePay can make better data-driven credit decisions, faster. You will own cross-product credit analytics and recommendations across OnePay’s product suite, including credit card, point-of-sale/after-purchase financing, and cash advance, identifying signals unique to each program and ones that span the OnePay ecosystem. You will work cross-functionally to define the problem at-hand, create a framework to break it down, and leverage data to drive underwriting and portfolio strategies that create a better experience for our customers and advance business goals. To be successful, you’ll need a passion for solving complex problems inherent to fintech and consumer risk, an eager-mentality to accelerate our robust customer growth, and an owner mindset in managing our portfolio performance metrics. You understand credit risk analysis is more than just data: you take a comprehensive point-of-view that balances growth, losses, customer impact, and operational realities.

In this role, you will:

• Recommend underwriting, line/limit, and policy changes to responsibly grow approvals and usage (e.g., cutoffs, segmentation, decision logic), using internal behavior, external risk signals, and reject inference techniques.

• Develop cross-product customer credit profiles by connecting external credit attributes to on-us behavior, and identify signals that generalize across products vs. are product-specific.

• Drive outcomes from uncovering insights in monitoring, to recommending and executing against strategic insights.

• Design, execute, and analyze experiments (A/B tests, holdouts, policy tests), turning results into strategic recommendations and roll-out plans.

• Intertwine analytics with business and product strategy to craft business proposals that ultimately impact the bottom-line.

• Dig into user behavior and “double-clicks” of the data to identify high-impact opportunities for product improvements or targeted outreach, including second-order impacts.

• Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in product analytics.

• Share business insights and product enhancement recommendations to senior leadership and stakeholders effectively and concisely.

You Bring

• 4-7 years of professional experience in analytics with a proven track record of leveraging quantitative analyses to drive business or product changes in a fast-paced environment.

• Demonstrated experience across consumer underwriting strategy and/or portfolio risk analytics.

• Advanced SQL skills with a track record of extracting and analyzing complex datasets independently.

• Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights.

• Proven ability to work cross-functionally to translate complex data questions into practical business guidance.

• Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’.

• An act-like-an-owner mentality. We have a bias toward taking action.

What We Offer

• Competitive base salary, stock options, and health benefits from Day 1

• 401(k) plan with company match

• Remote-friendly (US), flexible time off (FTO), and opportunities for growth

• A high-growth, mission-driven, inclusive culture where your work has real impact

Standard Interview Process

• Initial Interview with Talent Partner

• Technical or Hiring Manager Interview

• Team Interview

• Executive Interview

• Offer!

Equal Employment Opportunity

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

About OnePay

OnePay is the consumer fintech trusted by millions of Americans to make money better.

Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.

We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.

We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.

But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:

• Ready to run

• Hungry and driven by urgency

• Exceptional at what they do, with low ego

• Comfortable operating in motion

The Role

As a member of the analytics team, you will bring order to vast amounts of internal and external data so OnePay can make better data-driven credit decisions, faster. You will own cross-product credit analytics and recommendations across OnePay’s product suite, including credit card, point-of-sale/after-purchase financing, and cash advance, identifying signals unique to each program and ones that span the OnePay ecosystem. You will work cross-functionally to define the problem at-hand, create a framework to break it down, and leverage data to drive underwriting and portfolio strategies that create a better experience for our customers and advance business goals. To be successful, you’ll need a passion for solving complex problems inherent to fintech and consumer risk, an eager-mentality to accelerate our robust customer growth, and an owner mindset in managing our portfolio performance metrics. You understand credit risk analysis is more than just data: you take a comprehensive point-of-view that balances growth, losses, customer impact, and operational realities.

In this role, you will:

• Recommend underwriting, line/limit, and policy changes to responsibly grow approvals and usage (e.g., cutoffs, segmentation, decision logic), using internal behavior, external risk signals, and reject inference techniques.

• Develop cross-product customer credit profiles by connecting external credit attributes to on-us behavior, and identify signals that generalize across products vs. are product-specific.

• Drive outcomes from uncovering insights in monitoring, to recommending and executing against strategic insights.

• Design, execute, and analyze experiments (A/B tests, holdouts, policy tests), turning results into strategic recommendations and roll-out plans.

• Intertwine analytics with business and product strategy to craft business proposals that ultimately impact the bottom-line.

• Dig into user behavior and “double-clicks” of the data to identify high-impact opportunities for product improvements or targeted outreach, including second-order impacts.

• Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in product analytics.

• Share business insights and product enhancement recommendations to senior leadership and stakeholders effectively and concisely.

You Bring

• 4-7 years of professional experience in analytics with a proven track record of leveraging quantitative analyses to drive business or product changes in a fast-paced environment.

• Demonstrated experience across consumer underwriting strategy and/or portfolio risk analytics.

• Advanced SQL skills with a track record of extracting and analyzing complex datasets independently.

• Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights.

• Proven ability to work cross-functionally to translate complex data questions into practical business guidance.

• Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’.

• An act-like-an-owner mentality. We have a bias toward taking action.

What We Offer

• Competitive base salary, stock options, and health benefits from Day 1

• 401(k) plan with company match

• Remote-friendly (US), flexible time off (FTO), and opportunities for growth

• A high-growth, mission-driven, inclusive culture where your work has real impact

Standard Interview Process

• Initial Interview with Talent Partner

• Technical or Hiring Manager Interview

• Team Interview

• Executive Interview

• Offer!

Equal Employment Opportunity

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.