Clarify is an outcomes company. We partner with 60+ health systems to do the work that most analytics vendors walk away from. Across 900 million annual referrals and $1 trillion in downstream spending, we identify where mission and margin are falling out of alignment, and then we embed with the people who can change it: the liaison in the field, the contract negotiator at the table, the service line leader running the plan.

We bring the most complete picture of care economics in healthcare. 300 million patient journeys. 5.6 trillion price transparency rates. Episode-level quality across every major payer contract. Clarify Meridian puts that picture to work at the point of every decision. But the picture is not what we deliver. The outcomes are.

We are looking for a Senior Analytics Engineer to own the analytics behind the metrics customers see. This role will advance the technology that groups Clarify’s standardized healthcare claims into units of analysis such as patient years, surgical episodes, and referral relationships, then them into the metrics and categories the products run on. Every metric traces back to a grouping someone on this team defined, populated, and validated.

You will own pieces of that layer from pipeline development, QA and test coverage, and promotion into production. Feature requests arrive from product and customer-facing teams, and you will scope them, write the logic, and validate the result.

This is a hands-on role that is an ideal fit for an analyst who knows healthcare data, understands what the codes on a claim represent, and treats a wrong number as their own problem. SQL is the daily tool, and the scripting and pipeline tooling can be picked up here.

The role

The Senior Analytics Engineer will be responsible for a range of responsibilities, including (but not limited to):

Own the data methodology

1. Carry derived data points through from development through QA into production, including the logic that defines them and the tests each one has to pass before they are consumed downstream.
2. Write the data methodology and logic customers ultimately see: episode triggers, provider attribution, cost standardization, and quality measure numerators, denominators, and exclusions.
3. Manage and build upon Clarify’s reference data library. This spans physician and facility affiliation mappings, codesets and their derivative mappings (ICD, HCPCS, NDC, DRG, etc. and their mappings to service lines/higher level categories), geographical info, etc.

Validate the numbers

1. Prove a number before anyone else has to, using reconciliation SQL, version-over-version comparisons that show what moved, and impact analysis run before a logic change ships.
2. Turn one-off QA into standing coverage: the data tests, the comparisons against a known-good baseline rather than the previous run, and the completeness thresholds that have to pass before data reaches a customer.
3. Run the data refresh and delivery cadence for customer environments once ingestion is complete, working test failures to root cause with engineering and handing off validated groupings to data science and product.

Turn requests into delivered analytics

1. Scope feature requests from product, clinical informatics, and customer teams, write the specification and acceptance criteria, decide what you do yourself and what goes to an engineer, and follow it to release.
2. Settle methodology that crosses teams, including attribution logic, referral definitions, and provider reference data, where data quality, run time, and scope get traded against each other.
3. Hold AI-assisted tooling to the same standard as your own work. Clarify uses agentic tooling for data sourcing, specification drafting, and triage, and this role checks generated output against source data and sets the review it has to pass.

What we are looking for

We are always looking for new team members who will add to our culture and have a strong passion for impact. In particular, the Senior Analytics Engineer will have:

Required Qualifications

1. Bachelor’s degree in a quantitative, technical, or health-related field, or equivalent practical experience
2. Five or more years in data analysis, healthcare analytics, or a comparable data-heavy role
3. Advanced SQL. You query large datasets without help, build a metric from raw source records, define its grain, and defend every value in it
4. Experience in the AWS ecosystem, experience with industry-leading AI models, especially in their use for code development
5. Working knowledge of healthcare data and the context around it, such as claims, provider, or network data, and what the codes on a claim represent
6. Experience with data in a production setting, where tables refresh on a schedule, other teams depend on your output, and changes move through QA before release
7. Clear writing. Specifications, acceptance criteria, and decision records an engineer can act on and an auditor can follow six months later

Personal Attributes

1. A high bar and the work ethic to hold it. You do whatever it takes to get there — chasing down the missing answer, filling the gap no one owns, staying with it until it is right. You expect the same standard from the work around you.
2. Ownership mindset. You treat the components you own as yours, and you carry a problem to its outcome rather than handing it off halfway.
3. Comfort with ambiguity. The problems may be clear but not yet well defined. You make a reasonable call, state your assumptions, and keep moving.
4. A bias toward action. You are a doer. When something needs to be built, validated, or unblocked, you go do it, and you prototype your way to an answer.

Preferred Qualifications

1. Depth in a healthcare domain such as episode grouping, risk adjustment, quality measurement, or provider and network reference data, including CMS or NCQA measure specifications, clinical value sets, or standards such as HL7, FHIR, and X12
2. BI and dashboarding tools, and a record of explaining an analysis to an audience that does not work in the data
3. Recurring data quality checks you set up yourself rather than one-off validations
4. Python/Pyspark experience

What we offer you

• Competitive compensation (base + bonus + equity)
• Quality health insurance
• Traditional 401K plan
• Vision, dental, disability and life insurance
• Flexible Spending Accounts and Commuter Benefits
• Generous PTO
• Flexibility
• Monthly work-from-home stipend
• Remote friendly
• A collaborative workplace, which will challenge you and celebrate your work
• A chance to learn with and from interesting and enthusiastic colleagues

$142,000 - $167,000 a year

Don’t meet every single requirement? At Clarify we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles!

We believe that a happy, diverse, and impact-driven team is critical to our mission of transforming healthcare. Having a diverse team allows us to bring more ideas to the table when working on lighting the path to higher-value care. We embrace employees and applicants of all backgrounds, including those of traditionally underrepresented groups. With this in mind, we do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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.

Clarify is an outcomes company. We partner with 60+ health systems to do the work that most analytics vendors walk away from. Across 900 million annual referrals and $1 trillion in downstream spending, we identify where mission and margin are falling out of alignment, and then we embed with the people who can change it: the liaison in the field, the contract negotiator at the table, the service line leader running the plan.

We bring the most complete picture of care economics in healthcare. 300 million patient journeys. 5.6 trillion price transparency rates. Episode-level quality across every major payer contract. Clarify Meridian puts that picture to work at the point of every decision. But the picture is not what we deliver. The outcomes are.

We are looking for a Senior Analytics Engineer to own the analytics behind the metrics customers see. This role will advance the technology that groups Clarify’s standardized healthcare claims into units of analysis such as patient years, surgical episodes, and referral relationships, then them into the metrics and categories the products run on. Every metric traces back to a grouping someone on this team defined, populated, and validated.

You will own pieces of that layer from pipeline development, QA and test coverage, and promotion into production. Feature requests arrive from product and customer-facing teams, and you will scope them, write the logic, and validate the result.

This is a hands-on role that is an ideal fit for an analyst who knows healthcare data, understands what the codes on a claim represent, and treats a wrong number as their own problem. SQL is the daily tool, and the scripting and pipeline tooling can be picked up here.

The role

The Senior Analytics Engineer will be responsible for a range of responsibilities, including (but not limited to):

Own the data methodology

1. Carry derived data points through from development through QA into production, including the logic that defines them and the tests each one has to pass before they are consumed downstream.
2. Write the data methodology and logic customers ultimately see: episode triggers, provider attribution, cost standardization, and quality measure numerators, denominators, and exclusions.
3. Manage and build upon Clarify’s reference data library. This spans physician and facility affiliation mappings, codesets and their derivative mappings (ICD, HCPCS, NDC, DRG, etc. and their mappings to service lines/higher level categories), geographical info, etc.

Validate the numbers

1. Prove a number before anyone else has to, using reconciliation SQL, version-over-version comparisons that show what moved, and impact analysis run before a logic change ships.
2. Turn one-off QA into standing coverage: the data tests, the comparisons against a known-good baseline rather than the previous run, and the completeness thresholds that have to pass before data reaches a customer.
3. Run the data refresh and delivery cadence for customer environments once ingestion is complete, working test failures to root cause with engineering and handing off validated groupings to data science and product.

Turn requests into delivered analytics

1. Scope feature requests from product, clinical informatics, and customer teams, write the specification and acceptance criteria, decide what you do yourself and what goes to an engineer, and follow it to release.
2. Settle methodology that crosses teams, including attribution logic, referral definitions, and provider reference data, where data quality, run time, and scope get traded against each other.
3. Hold AI-assisted tooling to the same standard as your own work. Clarify uses agentic tooling for data sourcing, specification drafting, and triage, and this role checks generated output against source data and sets the review it has to pass.

What we are looking for

We are always looking for new team members who will add to our culture and have a strong passion for impact. In particular, the Senior Analytics Engineer will have:

Required Qualifications

1. Bachelor’s degree in a quantitative, technical, or health-related field, or equivalent practical experience
2. Five or more years in data analysis, healthcare analytics, or a comparable data-heavy role
3. Advanced SQL. You query large datasets without help, build a metric from raw source records, define its grain, and defend every value in it
4. Experience in the AWS ecosystem, experience with industry-leading AI models, especially in their use for code development
5. Working knowledge of healthcare data and the context around it, such as claims, provider, or network data, and what the codes on a claim represent
6. Experience with data in a production setting, where tables refresh on a schedule, other teams depend on your output, and changes move through QA before release
7. Clear writing. Specifications, acceptance criteria, and decision records an engineer can act on and an auditor can follow six months later

Personal Attributes

1. A high bar and the work ethic to hold it. You do whatever it takes to get there — chasing down the missing answer, filling the gap no one owns, staying with it until it is right. You expect the same standard from the work around you.
2. Ownership mindset. You treat the components you own as yours, and you carry a problem to its outcome rather than handing it off halfway.
3. Comfort with ambiguity. The problems may be clear but not yet well defined. You make a reasonable call, state your assumptions, and keep moving.
4. A bias toward action. You are a doer. When something needs to be built, validated, or unblocked, you go do it, and you prototype your way to an answer.

Preferred Qualifications

1. Depth in a healthcare domain such as episode grouping, risk adjustment, quality measurement, or provider and network reference data, including CMS or NCQA measure specifications, clinical value sets, or standards such as HL7, FHIR, and X12
2. BI and dashboarding tools, and a record of explaining an analysis to an audience that does not work in the data
3. Recurring data quality checks you set up yourself rather than one-off validations
4. Python/Pyspark experience

What we offer you

• Competitive compensation (base + bonus + equity)
• Quality health insurance
• Traditional 401K plan
• Vision, dental, disability and life insurance
• Flexible Spending Accounts and Commuter Benefits
• Generous PTO
• Flexibility
• Monthly work-from-home stipend
• Remote friendly
• A collaborative workplace, which will challenge you and celebrate your work
• A chance to learn with and from interesting and enthusiastic colleagues

$142,000 - $167,000 a year

Don’t meet every single requirement? At Clarify we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles!

We believe that a happy, diverse, and impact-driven team is critical to our mission of transforming healthcare. Having a diverse team allows us to bring more ideas to the table when working on lighting the path to higher-value care. We embrace employees and applicants of all backgrounds, including those of traditionally underrepresented groups. With this in mind, we do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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.

😎 Our Culture Quantum Metric’s number one objective is happy people, diverse and inclusive culture. We’re passionate about empowering our people to become the best version of themselves, offering coaching...

Job Title: Senior Data Analyst (SQL, Power BI, Looker) Location: 100% Remote, CanadaExperience: 5+ YearsRate: 62 to 65 CAD PH Role SummaryNearSource is looking for a Senior Data Analyst to drive data-informed decision-making across large-scale platform initiatives.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

As a Senior Analyst on the Risk Analytics team, you will be the analytical engine behind our fraud prevention strategy. You will build models, run experiments, and develop tools that help us make smarter, faster decisions, reducing reliance on external black boxes and static rules. You will work closely with the Manager, Risk Analytics, owning the technical and statistical work that turns strategy into something measurable and executable. You will also be a key driver of how our team uses AI: not just adopting tools as they come, but actively building workflows, automating repetitive analysis, and thinking ahead about how AI can keep us one step ahead of increasingly sophisticated fraud.

What you’ll do

• Build and maintain Python-based analyses, models, and data pipelines that support fraud decisioning, vendor evaluation, and internal risk scoring
• Design and run statistical experiments from hypothesis through measurement and communication of results, including A/B tests on routing changes, holdout experiments, and vendor performance assessments
• Develop and iterate on internal fraud risk models using SeatGeek transaction and vendor data; own model calibration, validation, and ongoing performance monitoring
• Actively use AI tools including LLMs, code generation, and agentic workflows to move faster and build smarter; help define how AI gets embedded into the team’s analytical processes, and identify opportunities to automate work currently done manually
• Contribute to vendor performance analysis: assess score calibration, measure lift across segments, and surface findings that inform routing decisions and contract discussions
• Build and maintain dashboards and reports in Looker and Hex; develop SQL models and data views to support the team’s analytical needs
• Monitor fraud and operations metrics, investigate anomalies, and escalate findings with a clear point of view on recommended actions
• Collaborate with Risk Ops agents, the manager, and cross-functional partners in Engineering, Payments, and CX to translate analysis into action

What you have

• 3+ years of experience in fraud analytics, risk, fintech, or a quantitatively demanding analytical role
• Strong Python skills; you build end-to-end analyses and pipelines independently, and are proficient with pandas, scikit-learn, statsmodels, or equivalent libraries
• Strong SQL; you can own complex data pulls, understand warehouse structures, and build views and models that others rely on
• Solid statistical grounding: you can design statistically valid experiments, perform significance testing, assess model calibration, and communicate findings clearly to a non-technical audience
• Hands-on experience building, training, and validating classification models independently; familiarity with model evaluation methods, handling class imbalance, and translating model outputs into business decisions
• Genuine enthusiasm for AI tools: you actively use LLMs and code generation in your day-to-day work, think about how to design AI-assisted workflows, and take initiative in identifying where AI can replace manual effort
• Comfort operating in ambiguity; you are expected to define the problem as much as solve it
• Familiarity with fraud vendors such as Forter, Riskified, or Sardine is a plus; experience with Looker or similar BI tools is a plus

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave
• 401(k) matching
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $360 per quarter to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $108,000 - $157,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

#LI-Remote

RevenueCat removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in >40% of newly...

About BlueLabs

BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception we’ve worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.

About the Team

The Strategic Analytics Team at BlueLabs drives high quality, innovative research and analysis across BlueLabs’ client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. Team members analyze and interpret data, provide strategic program insight, drive innovation across sectors, and collaborate closely with both our client and technical teams.

Our team is often called to answer questions like:

• What are the meaningful messaging takeaways from a poll of industry elites for a major corporation to consider in their paid communication?
• How should a movie studio structure their marketing based on who a likely movie goer is?
• What political trends should a campaign be aware of, and what are the different pathways to victory?
• How do we present our models, calculators, and reports, so our partners get the information they need?

Tools of the Trade

• We work closely with our Data Science team, so you’ll need an understanding of statistical concepts, be able to interpret results and explain them to non-analysts
• We use big data sets so you will need to be comfortable with tools to access information and analyze that information such as SQL and some statistical and/or spreadsheet software
• We use an array of business intelligence tools to visualize our findings.  Members of our team have different strengths such as GIS or Tableau – so we look for some  experience using such tools
• We’re only successful if we can communicate our findings; writing skills, PowerPoint, Keynote and other tools of the consultant toolbox will help you succeed in this job

About the Role

As part of the Insights at BlueLabs, you’ll be working with a group of analysts and data scientists who work across BlueLabs’ client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy.

This position is both a project manager overseeing medium- to large-scale clients as well as a hands-ons contributor providing data management, report or calculator building, and memo or deck preparation or other analysis as needed on larger-scale projects. Senior Analytics Manager I’s are principal managers, people leaders, and client-facing representatives on their accounts.

This position requires a mix of internal and external leadership, analysis, data management and presentation, and communication skills. You’ll be responsible for hard analysis as well as putting together the data infrastructure, reports and calculators that will power our solutions and putting together the client-facing materials that summarizes those findings. You’ll be providing team leadership, problem solving challenges, and responsible for ensuring we hit deadlines with insightful and actionable analysis.

Some examples of projects you might work on:

• Analyze polling data to discover trends and insights and then create a report that clearly communicates your findings
• Build crosstabs that detail the makeup of an advertising audience, target universe, or group of survey respondents
• Present your findings to clients and other stakeholders who may be made up of non-technical and/or highly technical people.
• Mentor analysts or fellows and support their growth and development

Such other reasonable tasks may be assigned by management.

What we are seeking

• You have demonstrated experience leading other senior analysts on large unstructured projects.
• You likely have at least a bachelor’s degree in a related field with a statistical background or 3+ years of experience analyzing data and building reports
• You possess the technical acumen to autonomously lead projects, offering direction and support to team members when necessary.
• You have 2+ years directly managing analysts or technical staff
• You are passionate about harnessing data-driven solutions to improve social outcomes
• You’re eager to continue to learn and contribute to mentoring others in the frontier of fundamental techniques in data management, analysis, and visualization
• Your professional experience using data to identify clear insights allows you to be able to conduct data analysis even on tight deadlines, where the problem is unstructured, or the guidance is open ended
• You likely have at least a bachelor’s degree in a related field with some statistical background and 6+ years of experience analyzing data and building reports
• You’ve created reports and worked with data visualization and business intelligence tools
• You’ve created maps with GIS data and used software such as QGIS or ArcGIS
• You have experience with programming languages such as Python and SQL
• You have worked with spreadsheet and presentation software (Excel, Google Sheets, PowerPoint, Keynote)
• You have leadership competencies in the following: empathy, active listening, coaching/feedback, integrity, decisiveness, and problem solving
• You are effective in navigating and managing client relationships, solving problems, making connections, and implementing opportunities

What Recruitment Looks Like:

We expect to onboard this position in March 2026. The successful candidate will complete up to three interviews (HR phone call, team member interview, and panel interview). There will also be a technical assessment. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you’ve used, and knowledge you have applied.  We often look for explanations of “how or why” so it’s helpful to have details ready.

What We Offer:

BlueLabs offers a friendly work environment and competitive benefits package including:

• Salary: $105,000 - $115,000 annually
• Premier health insurance plan
• 401K matching
• Unlimited vacation
• Paid sick, personal, and volunteer leave
• 15 weeks paid parental leave
• Professional development & learning stipend
• Bring Your Own Device (BYOD) stipend
• Employee Assistance Program (EAP)
• Flexible working hours
• Telecommuting options
• Pre-tax transportation options
• And more!

While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify.

Collection of Personal Information Notice:

As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for  purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or shareit with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.

Top 3 Reasons To Join Us

• Competitive Salary
• 100% Remote
• Working on the latest tech for the Insurtech Market Leader

About Us

At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.

• We are a leading global no-code insurance platform for health, life, and P&C
• We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
• We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
• We’re an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
• We are fully funded and backed by reputable VC funds and strategic institutional investors
• We have a global presence in Asia, EMEA and the Americas
• We’ve grown our annualized revenue by over 30x since January 2021
• We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world

What You Will Do:

• Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
• Plan and design simple to semi-complex business processes and system modifications
• Make recommendations to improve and support business activities
• Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties
• Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design
• Develop business requirements documents/user stories to support the required modifications
• May plan, allocate and monitor work of other business analysts
• Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills
• Assist in providing time estimates for project related tasks
• Aid in updating process and procedural documentation
• Develop basic understanding of technical development cycle of mobile application or web portals
• Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
• Any other task that may be assigned

What We Need:

• Minimum 5 years of experience as Business Analyst
• A degree in Business, IT or any relevant field
• Previous experience working in the health insurance industry is required
• Insurtech experience is preferred
• Health Insurance-related domain certification from INS/LOMA or III is an added advantage
• Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints
• Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing
• Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes
• Experience in an Agile and/or Scrum environment is a must
• Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow
• Excellent written and verbal communication skills in English
• Technical writing skills is a plus

Why You’ll Love Working Here

• Fully Remote
• Flexible Leave
• International Environment
• Competitive renumeration package
• Performance Bonus
• Company activities and events
• Learning and development plan
• Remote work allowance

CoverGo Company Video

By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

About BlueLabs

BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception we’ve worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.

About the Team

The Strategic Analytics Team at BlueLabs drives high quality, innovative research and analysis across BlueLabs’ client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. Team members analyze and interpret data, provide strategic program insight, drive innovation across sectors, and collaborate closely with both our client and technical teams.

Our team is often called to answer questions like:

• What are the meaningful messaging takeaways from a poll of industry elites for a major corporation to consider in their paid communication?
• How should a movie studio structure their marketing based on who a likely movie goer is?
• What political trends should a campaign be aware of, and what are the different pathways to victory?
• How do we present our models, calculators, and reports, so our partners get the information they need?

Tools of the Trade

• We work closely with our Data Science team, so you’ll need an understanding of statistical concepts, be able to interpret results and explain them to non-analysts
• We use big data sets so you will need to be comfortable with tools to access information and analyze that information such as SQL and some statistical and/or spreadsheet software
• We use an array of business intelligence tools to visualize our findings.  Members of our team have different strengths such as GIS or Tableau – so we look for some  experience using such tools
• We’re only successful if we can communicate our findings; writing skills, PowerPoint, Keynote and other tools of the consultant toolbox will help you succeed in this job

About the Role

As part of the Insights at BlueLabs, you’ll be working with a group of analysts and data scientists who work across BlueLabs’ client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy.

This position is both a project manager overseeing medium- to large-scale clients as well as a hands-ons contributor providing data management, report or calculator building, and memo or deck preparation or other analysis as needed on larger-scale projects. Senior Analytics Manager I’s are principal managers, people leaders, and client-facing representatives on their accounts.

This position requires a mix of internal and external leadership, analysis, data management and presentation, and communication skills. You’ll be responsible for hard analysis as well as putting together the data infrastructure, reports and calculators that will power our solutions and putting together the client-facing materials that summarizes those findings. You’ll be providing team leadership, problem solving challenges, and responsible for ensuring we hit deadlines with insightful and actionable analysis.

Some examples of projects you might work on:

• Analyze polling data to discover trends and insights and then create a report that clearly communicates your findings
• Build crosstabs that detail the makeup of an advertising audience, target universe, or group of survey respondents
• Present your findings to clients and other stakeholders who may be made up of non-technical and/or highly technical people.
• Mentor analysts or fellows and support their growth and development

Such other reasonable tasks may be assigned by management.

What we are seeking

• You have demonstrated experience leading other senior analysts on large unstructured projects.
• You likely have at least a bachelor’s degree in a related field with a statistical background or 3+ years of experience analyzing data and building reports
• You possess the technical acumen to autonomously lead projects, offering direction and support to team members when necessary.
• You have 2+ years directly managing analysts or technical staff
• You are passionate about harnessing data-driven solutions to improve social outcomes
• You’re eager to continue to learn and contribute to mentoring others in the frontier of fundamental techniques in data management, analysis, and visualization
• Your professional experience using data to identify clear insights allows you to be able to conduct data analysis even on tight deadlines, where the problem is unstructured, or the guidance is open ended
• You likely have at least a bachelor’s degree in a related field with some statistical background and 6+ years of experience analyzing data and building reports
• You’ve created reports and worked with data visualization and business intelligence tools
• You’ve created maps with GIS data and used software such as QGIS or ArcGIS
• You have experience with programming languages such as Python and SQL
• You have worked with spreadsheet and presentation software (Excel, Google Sheets, PowerPoint, Keynote)
• You have leadership competencies in the following: empathy, active listening, coaching/feedback, integrity, decisiveness, and problem solving
• You are effective in navigating and managing client relationships, solving problems, making connections, and implementing opportunities

What Recruitment Looks Like:

We expect to onboard this position in March 2026. The successful candidate will complete up to three interviews (HR phone call, team member interview, and panel interview). There will also be a technical assessment. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you’ve used, and knowledge you have applied.  We often look for explanations of “how or why” so it’s helpful to have details ready.

What We Offer:

BlueLabs offers a friendly work environment and competitive benefits package including:

• Salary: $105,000 - $115,000 annually
• Premier health insurance plan
• 401K matching
• Unlimited vacation
• Paid sick, personal, and volunteer leave
• 15 weeks paid parental leave
• Professional development & learning stipend
• Bring Your Own Device (BYOD) stipend
• Employee Assistance Program (EAP)
• Flexible working hours
• Telecommuting options
• Pre-tax transportation options
• And more!

While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify.

Collection of Personal Information Notice:

As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for  purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or shareit with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.

Duration: This is a ~4 month contract opportunity

Included Health is hiring a Workforce Analytics Model Standardization Consultant to improve the reliability, maintainability, and usability of the Google Sheets-based models that support workforce planning, forecasting, FP&A, and Care Operations. This is a hands-on role for someone who has built spreadsheet tools that other teams depended on, can reverse-engineer undocumented models, and can work inside a live monthly production cycle without disrupting it.

The consultant will partner with Workforce Analytics, FP&A, Care Operations, HRIS, Data Engineering, and other stakeholders to standardize high-burden models, document historical sources of truth, support recurring workflows, and create consistent pre-read outputs for operational and financial decision-making.

Responsibilities:

Model Standardization & Cleanup

• Bring high-burden Google Sheets models up to team standards for structure, readability, maintainability, and traceability.

• Audit interconnected spreadsheets, identify broken or fragile dependencies, clarify inputs and outputs, and reduce unnecessary complexity without changing sound forecasting methodology.

• Establish consistent conventions for tabs, formulas, input areas, assumptions, checks, file naming, permissions, and handoff materials.

• Review models for data integrity, formula consistency, broken links, stale inputs, hard-coded values, and other issues that could create production risk.

• Preserve business logic that is working while making the model understandable and operable by someone other than its original author.

Documentation & Archiving

• Reverse-engineer undocumented or lightly documented models and write clear, practical documentation explaining how they work.

• Document source data, refresh steps, dependencies, assumptions, business rules, key calculations, outputs, known limitations, and common failure modes.

• Organize Google Drive folders and model inventories so current working files, reference files, archived versions, and historical sources of truth are clearly distinguished.

• Identify and archive stale or redundant versions while preserving the historical files needed for auditability, trend analysis, and retrospective review.

• Create handoff materials that enable an analyst to run, troubleshoot, and maintain the work after the engagement ends.

Cycle & Workflow Support

• Support the recurring workforce planning and forecasting cycle, which runs roughly from the 20th through the 10th of each month.

• Handle routine manual ingestion, file preparation, formatting, reconciliation, and quality-check tasks so senior analysts can focus on interpretation and decision support.

• Work carefully within live production processes, escalating issues early and protecting deadlines for FP&A and Operations deliverables.

• Help clarify and improve Jira workflow structure where it supports intake, tracking, prioritization, review, and completion of analytics work.

• Create lightweight checklists and repeatable procedures for recurring tasks, with clear ownership and escalation paths.

Governance Delivery

• Develop standardized model outputs and reusable templates for FP&A and Operations pre-reads.

• Meet with stakeholders to understand what they need to review, decide, and act on—not just what they initially ask to receive.

• Draft recurring monthly outputs, gather feedback, and turn useful patterns into consistent templates and operating standards.

• Improve traceability from source data and assumptions through model outputs and executive or operational reporting.

• Apply practical quality controls, peer-review steps, versioning conventions, and documentation standards appropriate for workforce and financial planning work.

Quality Delivery

• Maintain sufficient hands-on proficiency in advanced Google Sheets, SQL or equivalent data-querying tools, and spreadsheet-based forecasting workflows to independently investigate and resolve issues.

• Pull and validate source data rather than relying exclusively on prepared extracts or analyst-provided datasets.

• Produce work that is accurate, reproducible, well documented, and usable under deadline pressure.

• Use Apps Script, light Python, or other automation selectively when it improves reliability or reduces repetitive work without introducing unnecessary operational risk.

• Respect the privacy, sensitivity, and appropriate use of people and workforce data throughout the engagement.

Engagement Scope and Deliverables:

This is a named-person, scoped project with a hard end date. As a consultant, you will be expected to own defined workstreams and leave behind durable improvements, not simply provide general staff augmentation or recommendations.

Expected deliverables may include:

• Standardized and cleaned Google Sheets models, with documented changes and known limitations.

• A model inventory identifying current working files, dependencies, owners, refresh cadence, and canonical historical sources.

• Archived and organized Google Drive folders with clear naming and version conventions.

• Practical runbooks and handoff documentation for recurring models and workflows.

• Repeatable ingestion, reconciliation, and quality-check procedures for the monthly cycle.

• Standardized FP&A and Operations pre-read templates and supporting model outputs.

• Recommended Jira workflow structures or updates where needed to support analytics intake and delivery.

Requirements:

• 6+ years in analytics, workforce planning, FP&A analytics, operations analytics, or a related data-focused field, with experience owning projects end to end.

• Demonstrated experience building spreadsheet tools that other people relied on and maintaining them through real operating cycles.

• Advanced proficiency in Google Sheets, including complex formulas, interconnected files, data validation, error handling, performance considerations, and cross-file references at scale.

• Direct experience reverse-engineering another person’s undocumented or poorly documented spreadsheet model and explaining how it works to someone else.

• Experience supporting FP&A, workforce planning, demand forecasting, capacity planning, or a similar recurring planning process where traceability and deadline discipline matter.

• Ability to pull, inspect, and validate data independently using SQL or an equivalent querying or data-extraction tool.

• Strong stakeholder-discovery skills, including the ability to extract requirements from partners who have not yet articulated a clean specification.

• Experience documenting and handing off work successfully, with specific examples of teams continuing to operate the tools after the consultant or analyst left.

• Ability to work inside a live production cycle, manage competing deadlines, and escalate risks before they affect monthly deliverables.

• Strong written and verbal communication skills, with the ability to explain model logic and data issues clearly to both technical and non-technical stakeholders.

• Willingness to perform detailed, repetitive, and operationally necessary work, including file organization, version cleanup, archiving, reconciliation, and formatting.

Preferred Qualifications:

• Experience building and leading forecasting or analytics teams, including setting priorities, establishing delivery standards, coaching analysts, and creating repeatable operating practices.

• Experience with Apps Script, Python, or another scripting language for lightweight data analysis or workflow automation.

• Experience establishing model governance, version-control practices, documentation standards, review checklists, or audit-ready controls.

• Experience working in a regulated, audited, SOX-adjacent, healthcare, financial services, or similarly controlled environment.

• Experience with Jira workflow design for analytics intake, triage, prioritization, review, or delivery.

• Experience producing recurring pre-reads or standardized planning packages for Finance, Operations, or executive stakeholders.

• Familiarity with workforce management, contact center, clinical operations, care delivery, or other environments where demand, staffing, capacity, and productivity are closely connected.

The United States hourly range for this full time, contract position is $85/hour - $100/hour.

Below is additional information on Included Health’s commitment to maintaining transparent and equitable compensation practices across our distinct geographic zones.

Starting hourly rate for you will depend on several job-related factors, unique to each candidate, which may include education; training; skills; years and depth of experience; certifications and licensure; our needs; internal peer equity; organizational considerations; and understanding of geographic and market data. Compensation structures and ranges are tailored to each zone’s unique market conditions to ensure that all contractors receive fair and great compensation based on their roles and locations. Your Recruiter can share your geographic zone upon inquiry.

About Included Health

Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.

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Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants with arrest or conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, and California law.

Included Health uses AI-assisted tools at select stages of the hiring process to enhance efficiency, consistency, and communication. AI does not make hiring decisions—final decisions are made exclusively by our recruiting and hiring teams.

RevenueCat removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in >40% of newly...

Description

About Trafilea

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands. With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands. We own and operate our own D2C brands (not an agency), with a presence in Walmart, Nordstrom, Amazon, and a strong global footprint.

Why Trafilea

We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.

🚀 We build and scale our own brands.

🦾 We invest in AI and automation like few others in eCom.

📈 We test fast, grow fast, and help you do the same.

🤝 Be part of a dynamic, diverse, and talented global team.

🌍 100% Remote, USD competitive salary, paid time off, and more.

Job Responsibilities

This role sits at the intersection of data engineering, analytics, business intelligence, and machine learning infrastructure. You will architect and scale modern data pipelines, build resilient data models, and ensure the reliability, accuracy, and operational performance of our BI reporting layer and ML platforms.

Key Responsibilities

• Pipeline & System Architecture: Architect, scale, and maintain end-to-end ETL/ELT pipelines and Airflow-driven workflows across the full data lifecycle (extraction transformation ML modeling reporting).

• Data Modeling & BI Delivery: Design and optimize SQL transformations, datasets, and high-quality data models. Build, centralize, and maintain dashboards and analytical tools to translate business needs into scalable BI solutions.

• Data Quality & Governance: Establish strong governance, monitoring, alerting, SLAs, data validation, and anomaly detection. Perform root-cause analysis to ensure high accuracy, reliability, and business trust in metrics.

• Machine Learning & Analytics Support: Operationalize ML models in batch/real-time environments and build internal data tools to empower Marketing Science, Analytics, and commercial teams.

• Performance & Cost Optimization: Optimize complex SQL queries and large-scale datasets for performance, cost-efficiency, and scalability across the AWS cloud ecosystem.

• Stakeholder Collaboration: Partner with cross-functional teams to define and report on core business metrics (e.g., CAC, ROAS, LTV, conversion funnels) to directly guide executive decision-making.

Requirements

• Experience: 4+ years in Data Engineering, Analytics Engineering, BI, or ML Engineering in production environments.

• SQL & Modeling: Advanced SQL proficiency (joins, CTEs, window functions, optimization) and proven experience designing/maintaining production data models and pipelines.

• AWS Stack: Hands-on experience with core AWS data services (e.g., Redshift, S3, Glue, Athena, Lambda).

• Orchestration: Hands-on experience with Apache Airflow for workflow management.

• Programming & Engineering Standards: Strong Python skills (OOP focus), experience with CI/CD practices (GitHub Actions/GitLab), and containerization (Docker, Kubernetes/ECS/EKS).

• BI & Data Quality: Proficiency with BI platforms (Tableau,Quicksight or similar) and direct ownership of production reporting, data quality, and root-cause analysis.

• Soft Skills: Systems-level thinker with high standards for documentation, scalability, precision, and communicating insights to technical and non-technical partners.

Nice-to-Have:

• Experience with dbt or modern ELT frameworks

• Specialized e-commerce and marketing analytics expertise (CAC, ROAS, LTV, retention, and funnel optimization).

Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

Location: Remote

Travel Requirements: 2 to 4 times per year

Job Summary

We are seeking an experienced and visionary Senior Analytics Engineer to design, build, and own end-to-end data solutions for our Core products, spanning data ingestion, modeling, semantic layer development, and final user experience.

In this role, you will help establish and scale analytics foundations by partnering on and implementing data pipelines that integrate data from internal and external business systems while developing governed, analytics-ready models and semantic layers that power trusted metrics and insights. This position offers an exciting opportunity to contribute to critical, strategic initiatives and shape the future of analytics, data visualization, and reporting within our Core Products organization.

What You’ll Do

Data Visualization & Report Development

• Own the development, maintenance, and delivery of analytics-ready data platforms, driving data management best practices to deliver clean, standardized, and well-documented data assets using Snowflake, dbt, and Looker.
• Foster strong partnerships with business stakeholders to understand requirements and deliver actionable analytics and reporting that surface key provider sales, operational, and business performance metrics, trends, and insights.
• Partner with the Data team during the design, build, and testing of certified datasets in dbt and Snowflake, including the ingestion, transformation, and modeling of data from internal and external business systems.
• Oversee the design and development of interactive and performant analytical experiences, with primary ownership of Looker dashboards, Explores, and semantic models supporting provider sales, commercial, and operational analytics.
• Design and maintain analytics models and metrics supporting provider sales performance, including pipeline, revenue, customer engagement, operational KPIs, and other key business performance metrics.
• Formulate and implement techniques for auditing and evaluating data collection quality, ensuring adequacy, accuracy, and legitimacy of data.
• Identify, design, and implement internal process improvements, such as optimizing data delivery and redesigning tools and data models for maximum impact.
• Mentor and support the growth of junior team members through coaching, knowledge sharing, and regular feedback.
• Champion and uphold data governance practices by promoting data quality, documentation standards, and consistent metric definitions across data models, semantic layers, and reporting tools.

Stakeholder Engagement

• Be infinitely curious about data and build actionable insights through a deep understanding of the business and the data we collect.
• Drive a culture of storytelling through data by enabling consistent, trusted, and well-modeled datasets that empower self-service analytics and informed decision-making.
• Lead cross-functional collaboration with business leaders, analysts, data scientists, and engineers to understand analytical needs and architect data models and analytics pipelines that support provider sales, commercial operations, and strategic business objectives.
• Provide technical leadership and guidance on data visualization enablement by ensuring robust backend data structures that support intuitive, performant dashboards.
• Advocate for and implement best practices in semantic modeling, metric standardization, and reporting infrastructure to promote an insight-driven culture.
• Own and evolve governance frameworks and development processes within the visualization and reporting space to ensure data quality, maintainability, and long-term scalability.

What We Need

• 5+ years in a related data visualization or data engineering role.
• Proficiency in Looker and LookML, with experience using other business intelligence platforms such as Tableau or Power BI.
• Hands-on experience building and maintaining analytics models using dbt and Snowflake.
• Advanced SQL knowledge, including writing complex queries, optimizing performance, and working with large datasets.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Experience working within agile development methodologies and collaborative project delivery practices.

Desired Qualifications

• Bachelor’s degree in computer science, Information Systems, Data Analytics, or a related field.
• Experience with workflow orchestration tools such as Apache Airflow.
• Experience partnering with sales teams to deliver analytics, reporting, and data-driven insights.
• Knowledge of statistical analysis and data mining techniques.
• Previous experience partnering with cross-functional teams to support analytics and reporting needs.
• Healthcare industry experience

What You’ll Need to Succeed

• Strong communication skills, both verbal and written.
• Highly organized with excellent attention to detail.
• Ability to work independently and as part of a team.
• Sense of urgency to learn and take on new challenges.
• Ability to manage stakeholder expectations and requirements to deliver governed, flexible analytics assets that align with enterprise best practices.

Base Salary Band: $73,539.55 to $165,000

Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description.

#LI-ED1 #LI-Remote

About PatientPoint: PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation’s largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and health brands with relevant information that is proven to drive healthier decisions and better outcomes. Learn more at patientpoint.com.

Latest News & Innovations:

1. Why is PatientPoint a Best Place to Work! Read More
2. Teammate Honored as “Top Woman in Tech”. Read More
3. Recognized on Vault’s Top Internship List. Read More

What We Offer:

We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.

PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

Na Stefanini, acreditamos no poder da colaboração.

Senior Clinical Data Associate - Fully Remote (Homebased) - Based in PolandSyneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success.

Headquarters: Remote - USA

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable Coinbase to meet global BSA/AML and related regulatory obligations at scale, partnering with Compliance, Product, and Engineering to ensure monitoring and investigative controls are effective, measurable, and auditable. You'll build and own end-to-end data pipelines that power compliance detection and decisioning, improving signal quality, defining control performance measurement, and creating scalable tooling that makes compliance data easier to trust and use.

What you'll do:

• Build and maintain curated datasets and data models (e.g., case, alert, entity, transaction, and risk features) that power compliance controls across Transaction Monitoring, EDD/KYC, and Screening systems.
• Own data quality for compliance datasets by implementing validation checks, monitoring, lineage tracking, and documentation to ensure outputs are accurate, complete, and audit-ready.
• Partner with cross-functional engineering teams and Compliance stakeholders to close upstream data gaps, standardize instrumentation, and translate control requirements into scalable data structures and feature sets.
• Drive detection signal quality improvements by analyzing detection outputs, identifying opportunities to reduce non-actionable noise while protecting sensitivity, and defining success metrics for controlled rollouts.
• Execute measurement frameworks for compliance control effectiveness, including coverage, timeliness, stability, and outcome-based metrics, and build repeatable reporting pipelines consumable by Compliance leaders, operations teams, and auditors.

Required skills and experience:

• Minimum 5 years of experience in analytics engineering, data engineering, or data-heavy technical roles.
• Advanced SQL proficiency including complex transformations, performance tuning, and data quality checks.
• Experience building and maintaining ETL/ELT pipelines and data models using tools such as dbt, Airflow, or equivalent orchestration/transformation frameworks.
• Demonstrated ability to execute on ambiguous, cross-functional projects in regulated environments with clear written and verbal communication.
• Python skills applied to automation, pipeline development, and data analysis.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). 

 

Annual base salary range (excluding equity and bonus):$167,280—$196,800 USD

• Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
• Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
• US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
• Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
• Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
  

To apply: https://weworkremotely.com/remote-jobs/coinbase-senior-analyst-compliance-technology

Headquarters: Remote - USA

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

Senior Analytics Engineer

As a Senior Analytics Engineer on the Platform team, you'll build the scalable data models and pipelines that power analytics, experimentation, and decision-making across Coinbase. Our Analytics Engineering team transforms raw data into trusted, well-modeled sources that stakeholders across Product, Engineering, and Data Science rely on daily. You'll own end-to-end data solutions for specific business domains, turning complex data flows into clean, reusable frameworks that unlock commercial value at scale.

What you'll do:

• Own end-to-end data modeling for assigned business domains, from understanding source system data flows through designing modular, reusable models (star/snowflake schemas) that serve as the single source of truth for downstream teams.
• Build and optimize ETL/ELT pipelines using modern tools like dbt and Airflow, ensuring data quality, reliability, and performance at scale across Snowflake or similar warehouse architectures.
• Partner with Engineering, Product, and Data Science teams to identify data gaps, define requirements, and deliver data products that directly enable experimentation, ad hoc analysis, and business metric optimization.
• Develop scalable abstractions and frameworks (UDFs, Python packages, internal data apps) that multiply the efficiency of other data teams and reduce time-to-insight across the organization.
• Design and deliver dashboards and visualization layers using tools like Looker or Tableau, translating complex data into clear, actionable views for cross-functional stakeholders.

Required Skills and Experience:

• 5+ years in analytics engineering or data engineering with demonstrated expertise in designing modular data models and building production ETL/ELT pipelines using dbt, Airflow, or similar.
• Advanced SQL proficiency for complex transformations and query optimization, plus intermediate-to-advanced Python for scripting, automation, and building scalable frameworks (OOP experience preferred).
• Production experience with modern data warehouse architectures (Snowflake, Databricks) including performance tuning, data quality monitoring, and version-controlled development workflows (GitHub, CI/CD).
• Proven track record delivering data solutions that generated measurable business impact, with the ability to independently build domain expertise and communicate technical trade-offs to Product, Engineering, and business stakeholders.
• Experience with prompt engineering for LLMs (e.g., GPT), including designing and optimizing prompts for internal tooling and automation use cases.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). 

 

Annual base salary range (excluding equity and bonus):$180,370—$212,200 USD

• Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
• Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
• US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
• Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
• Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
  

To apply: https://weworkremotely.com/remote-jobs/coinbase-senior-analytics-engineer-platform-financial-analytics

Headquarters: Remote - USA

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

As a Senior Data Scientist on the CX Consumer Analytics team, you will serve as the foundational link between CX operations and top-line financial impact, owning the revenue calibration models, experimentation frameworks, and behavioral intelligence that connect every customer support interaction to Coinbase's asset accumulation flywheel. You will partner closely with CX Analytics Engineers, Program Managers, and Product teams to translate complex operational and behavioral data into defensible, executive-ready insights that drive measurable improvements in retention, product adoption, and automation quality.

What you'll do:

• Own and evolve CX's Downstream Impact of Support (DSI) revenue calibration models, translating support interaction data into quantified revenue signals.
• Design and execute causal inference frameworks and experiments to measure the incremental impact of CX programs (Concierge, Proactive Outreach, automation interventions) on customer retention and product engagement.
• Build and maintain LLM-powered classification pipelines for CX contact taxonomy, customer friction detection, and issue attribution, partnering with Analytics Engineers to productionize models into CX's governed Source of Truth infrastructure.
• Partner with CX Program Managers and Product teams to define segmentation models and behavioral signals that enable personalized experiences and improve business outcomes.
• Maintain a high bar for statistical rigor across CX's analytics function, ensuring experimentation, causal analyses, and model outputs meet the standards required for executive reporting and regulatory defensibility.

Required Skills and Experience:

• A BA/BS in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) with 5+ years of relevant experience, or a PhD in a quantitative field with 3+ years of relevant experience.
• Demonstrated experience building revenue attribution or causal impact models and driving data science projects through ambiguous problem spaces in a consumer-facing or operational analytics context.
• Practical expertise applying statistical concepts including A/B testing, causal inference, and ML to real-world business problems, with a high bar for production-grade accuracy and evaluation rigor.
• Experience designing and deploying LLM-based classification or NLP pipelines for operational or customer-facing use cases.
• Ability to influence cross-functional stakeholders by synthesizing complex model outputs into clear, actionable narratives for executive and product audiences.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.

Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). 

 

Annual base salary range (excluding equity and bonus):$180,370—$212,000 USD

• Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
• Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
• US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
• Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
• Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
  

To apply: https://weworkremotely.com/remote-jobs/coinbase-senior-data-scientist-cx-analytics

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