Writing.io Jobs

Find the best remote jobs. Answer a few questions and we'll deploy a powerful assistant to help you search, create alerts, and more.

1 What roles are you open to?

2 Experience level

3 Work style

Did you know? If memory is enabled, Writing.io can remember your job search preferences and help you to improve your resume, craft customized outreach and more.

Data Analytics Senior Analytics Engineer at Clarify Health Solutions

Senior Analytics Engineer owns data methodology, pipeline development, and validation for healthcare claims analytics that power customer-facing metrics.

Senior Posted about 13 hours ago RemoteFirstJobs Product
What this role involves

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.

Read the full description
Data Analytics Senior Analytics Engineer at Clarify Health Solutions

Senior Analytics Engineer owns healthcare data methodology, pipeline development, QA, and validation to ensure accurate metrics and derived data points for downstream product consumption.

Senior Posted about 13 hours ago RemoteFirstJobs Product
What this role involves

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.

Read the full description
Data Analytics Manager, Analytics at Sittercity

Analytics Manager investigates business questions, builds data models and dashboards, and provides actionable insights to drive strategy and growth across marketing and product teams.

Mid Posted about 13 hours ago RemoteFirstJobs Product
What this role involves

About Sittercity

Sittercity, a Bright Horizons company, is a technology platform working to reimagine the child care industry. Finding, hiring and managing high-quality, trustworthy and enriching child care has never been simple, for parents or caregivers. We want to change that. At Sittercity, you can imagine and create solutions that will revolutionize a multi-billion industry and bring relief to parents and care providers alike, all while having a lot of fun! Boost your career as we launch into our next phase of growth and help build a platform that changes the way child care works.

The Opportunity

As an Analytics Manager working with our marketing and product operational teams, you will be instrumental in helping Sittercity achieve its mission to make child care finally work. You will join our analytics organization, which powers data-driven decision making throughout Sittercity. In this role, you will work closely with our business teams to shape strategy and drive growth at the company.

Key Responsibilities

  • Investigate business questions and provide teams with actionable insights that drive value
  • Maintain and augment our data model and Looker instance to enable company-wide data literacy
  • Communicate with executives and key stakeholders through presentations, well-designed data visualizations and interactive dashboards
  • Define testing frameworks and success criteria to quantify performance and inform strategy
  • Build unit-economic models for a subscription business including marketing attribution, retention, cohort forecasting, and customer segmentation
  • Partner with Product and Engineering to improve tracking within our applications, allowing for better visibility into customer behavior

Required Qualifications

  • Analytically minded, focused on the business implications of data
  • Experience presenting technical concepts to non-technical audiences
  • Proficiency in SQL and familiarity with relational databases
  • Advanced Excel skills
  • Bachelor’s Degree or equivalent experience
  • 3-4+ years of experience in a data-driven field (analytics, consulting, digital advertising, eCommerce etc.)

Desired Qualifications

  • Familiarity with scripting languages that support data manipulation (Python preferred)
  • Experience creating data visualizations and interactive dashboards (Looker preferred)
  • Experience designing and measuring A/B tests in a product or marketing capacity
  • Experience using raw event data in analysis

Why you should join us

Recognized as one of the best places to work by Built In Chicago, we offer an inclusive, innovative, and fun environment that rewards passionate and curious individuals. You will have an opportunity to influence our [product and technology] in an entrepreneurial environment with enterprise backing that has a huge impact on the childcare industry.

Salary and Other Compensation Disclosures

The annual starting salary for this position is between $110,000 - $120,000 annually. The pay range listed here is what Sittercity in good faith anticipates offering for this job opening. Actual compensation offered within this range will depend on a variety of factors including experience, education and training, certifications, geography, and other relevant business or organizational factors. This position is also eligible for bonus awards.

Benefits:

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, and short-term disability insurance. Also, depending on hire date and subject to applicable eligibility requirements and accrual schedules, new employees in this role receive up to: 9 paid holidays annually; 40 hours of sick time per year based on full-time schedule, and 80 hours of vacation time per year based on full-time schedule (vacation time may be used for sick leave purposes under any applicable state or local sick or safe time law).

Perks:

  • Remote Role
  • Company events, social outings and volunteer opportunities
  • Tuition assistance, college coach, and enhanced family support
  • Sittercity membership, backup child/adult/elder care, and childcare center discounts

Sittercity is committed to hiring a diverse workforce.  We consider all applicants for employment without regard to race, color, sex, sexual orientation, gender identity, religion, age, national origin, disability, veteran status, or any other basis as prohibited by federal, state or local law. Sittercity participates in E-Verify and background checks all employees.

This role must be performed remotely in IL, MA, NJ, NY, OH, OR, TX, CO, NH, VT, WA, WI, FL,GA

This posting is anticipated to remain open until October, 2026.

Read the full description
Data Analytics Senior/Strategic Digital Analytics Consultant – Spain

Leads digital analytics strategy and implementation for clients, leveraging data insights to drive business decisions and optimization.

Senior Posted about 13 hours ago Jobicy AI
What this role involves
😎 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...
Read the full description
Data Analytics Business Intelligence Engineer at Kodify Media Group

Designs dashboards, builds dbt models and ETL pipelines, and performs analysis to deliver trusted data insights across product, marketing, finance, and operations teams.

Mid Posted 1 day ago RemoteFirstJobs Product
What this role involves

Description

Who are we, and why are we hiring?

We’re based on over 15 years of success, producing world-class video content and building, developing, and managing a number of high-traffic websites. Our award-winning content and websites are created exclusively by us and directly for the use of millions of users worldwide. At Kodify, we’re not just pushing boundaries in online entertainment—we’re rewriting the script! Our goal is to empower our people with everything they need to pioneer innovation in our industry. Our culture is our secret sauce, and we’re committed to preserving and enhancing it every step of the way.

Join our crew, where the Kodify team is not just an asset, it’s our crown jewel. We prioritize their growth and well-being above all else, ensuring they’re set up for success and always inspired to deliver their best work.

As a rapidly expanding company with diverse hubs across the globe and over 20 vibrant national cultures, working with us means embracing thrilling challenges tailor-made for a star BI Engineer!

At Kodify, data is at the heart of how we make decisions. From product and marketing to finance and operations, every team relies on trustworthy data delivered at the right time. We’re looking for a BI Engineer to sit exactly where the technical and the analytical meet — building the models and pipelines that produce the numbers, and the reporting and analysis that make those numbers useful to the business.

What will you do?

  • You’ll work on a data platform that supports products serving close to 100M unique visitors a month.

  • Reporting & dashboards - Design and own dashboards that people actually use to make decisions. Not screenshot factories, living products with an owner and a purpose.

  • Analysis - Answer real business questions end to end: LTV and retention, subscriptions, sales volume and take rate, production and content performance. Find the “why” behind the number, and say so clearly.

  • Modeling - Build and maintain dbt models, staging through marts. Conventions, tests, and documentation included, not bolted on later.

  • Pipelines - Work on our Python ETL: ingestion from billing APIs, Postgres, MongoDB, and our columnar layer. Build new sources, fix what’s fragile, and improve error handling and observability.

  • Quality - Test your own work and validate numbers before a stakeholder does. If a dashboard is wrong, you care.

  • Stakeholders - Translate vague asks into scoped questions. Push back on requests that shouldn’t be built, and propose the version that should.

  • Enablement - Help business teams answer their own recurring questions, so capability moves out of BI rather than piling up inside it.

  • Duties - Becoming a valued team member, providing feedback about tech, development lifecycle and processes. Take ownership of your code / task / role.

  • Goal - Be the reason the business trusts its numbers — and be one of the driving forces behind always making it better.

Requirements

  • Experience as a BI Engineer, Data Engineer, Analytics Engineer, Data Analyst with engineering depth, or similar. Comfortable on both sides of the line.

  • Strong SQL, ideally PostgreSQL: complex transformations, window functions, and enough performance awareness to know why your query is slow.

  • Solid Python for data work: pipelines, scripting, APIs, data manipulation. You can pick up an existing ETL codebase and extend it.

  • Experience with dbt: models, tests, macros, and documentation, working within an existing project’s conventions.

  • Production experience with a BI/visualization tool (Superset, Tableau, Power BI, Looker, or similar), including the modeling layer underneath it, not just the drag-and-drop.

  • Solid building experience using AI - understanding AI harnessing best practices such asclaude.md, hooks, skills, rules, mcps, plugins etc.

  • Genuinely up to date on where AI is going: you follow what’s changing in models, agents, and tooling, and you have opinions about what’s useful versus hype. We expect you to use AI daily and to bring new ways of working to the team, not wait to be shown them.

  • Experience working with dimensional / analytical models and warehouses.

  • Comfort with Git, code review, and modern software engineering practices applied to data.

  • Genuine business curiosity. You want to know how the company makes money, not just what the schema looks like.

  • Clear communication with non-technical stakeholders. You can explain a discrepancy without hiding behind the pipeline.

  • Strong sense of ownership. You don’t wait to be told something is broken.

  • A team player who likes to help others and solve problems together.

  • Investigation of new technologies.

  • You have a real ‘Can Do’ work ethic - We are results-based, not clock-based!

  • You love to have fun while you work!

Nice to have:

  • Experience with a columnar/analytical database (ClickHouse, BigQuery, Snowflake, Redshift or similar)

  • Exposure to a semantic/metrics layer (Cube.dev, dbt MetricFlow, LookML, or similar)

  • Web analytics experience: event tracking, funnels, attribution, session and behavioural data (GA4, Amplitude, Mixpanel, or similar)

  • MongoDB as a source system

  • Data cataloging, documentation, or lineage tooling (OpenMetadata, DataHub, or similar)

  • Docker

  • AWS

  • Experience with high-traffic / high-volume data environments

  • Understanding of Agile principles

  • Experience working remotely

Where and when:

From wherever you want, the position is fully remote in the EU.

We’re very flexible about when you get your work done, but we do have some core hours where we like to overlap in order to promote collaboration and low-latency communication between team members (10:00 to 15:00 CET/CEST). Our daily virtual stand-ups are important for us but other than that, you’re free to manage your own time.

What we offer:

  • Fully remote position or, if preferred, working in our awesome Barcelona office!

  • Agile environment

  • Top-notch tech stack!

  • Flexible working hours + core hours!

  • 10% on top of your salary for learning and development - of your choice!

  • Latest tech equipment - Macbook Pro

  • Company Amazon book account!

  • Kodify off-sites, on-sites, events, and team activities!

  • Amazing international team!

  • 1 day off on your birthday

  • Generous vacation and personal days

  • 1 month paid sabbatical after 3 years

  • Health & Wellness budget

Read the full description
Data Analytics Business Intelligence Engineer at Kodify Media Group

Designs dashboards, builds dbt models and Python ETL pipelines, and performs analysis to support data-driven decision-making across product, marketing, finance, and operations teams.

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

Description

Who are we, and why are we hiring?

We’re based on over 15 years of success, producing world-class video content and building, developing, and managing a number of high-traffic websites. Our award-winning content and websites are created exclusively by us and directly for the use of millions of users worldwide. At Kodify, we’re not just pushing boundaries in online entertainment—we’re rewriting the script! Our goal is to empower our people with everything they need to pioneer innovation in our industry. Our culture is our secret sauce, and we’re committed to preserving and enhancing it every step of the way.

Join our crew, where the Kodify team is not just an asset, it’s our crown jewel. We prioritize their growth and well-being above all else, ensuring they’re set up for success and always inspired to deliver their best work.

As a rapidly expanding company with diverse hubs across the globe and over 20 vibrant national cultures, working with us means embracing thrilling challenges tailor-made for a star BI Engineer!

At Kodify, data is at the heart of how we make decisions. From product and marketing to finance and operations, every team relies on trustworthy data delivered at the right time. We’re looking for a BI Engineer to sit exactly where the technical and the analytical meet — building the models and pipelines that produce the numbers, and the reporting and analysis that make those numbers useful to the business.

What will you do?

  • You’ll work on a data platform that supports products serving close to 100M unique visitors a month.

  • Reporting & dashboards - Design and own dashboards that people actually use to make decisions. Not screenshot factories, living products with an owner and a purpose.

  • Analysis - Answer real business questions end to end: LTV and retention, subscriptions, sales volume and take rate, production and content performance. Find the “why” behind the number, and say so clearly.

  • Modeling - Build and maintain dbt models, staging through marts. Conventions, tests, and documentation included, not bolted on later.

  • Pipelines - Work on our Python ETL: ingestion from billing APIs, Postgres, MongoDB, and our columnar layer. Build new sources, fix what’s fragile, and improve error handling and observability.

  • Quality - Test your own work and validate numbers before a stakeholder does. If a dashboard is wrong, you care.

  • Stakeholders - Translate vague asks into scoped questions. Push back on requests that shouldn’t be built, and propose the version that should.

  • Enablement - Help business teams answer their own recurring questions, so capability moves out of BI rather than piling up inside it.

  • Duties - Becoming a valued team member, providing feedback about tech, development lifecycle and processes. Take ownership of your code / task / role.

  • Goal - Be the reason the business trusts its numbers — and be one of the driving forces behind always making it better.

Requirements

  • Experience as a BI Engineer, Data Engineer, Analytics Engineer, Data Analyst with engineering depth, or similar. Comfortable on both sides of the line.

  • Strong SQL, ideally PostgreSQL: complex transformations, window functions, and enough performance awareness to know why your query is slow.

  • Solid Python for data work: pipelines, scripting, APIs, data manipulation. You can pick up an existing ETL codebase and extend it.

  • Experience with dbt: models, tests, macros, and documentation, working within an existing project’s conventions.

  • Production experience with a BI/visualization tool (Superset, Tableau, Power BI, Looker, or similar), including the modeling layer underneath it, not just the drag-and-drop.

  • Solid building experience using AI - understanding AI harnessing best practices such asclaude.md, hooks, skills, rules, mcps, plugins etc.

  • Genuinely up to date on where AI is going: you follow what’s changing in models, agents, and tooling, and you have opinions about what’s useful versus hype. We expect you to use AI daily and to bring new ways of working to the team, not wait to be shown them.

  • Experience working with dimensional / analytical models and warehouses.

  • Comfort with Git, code review, and modern software engineering practices applied to data.

  • Genuine business curiosity. You want to know how the company makes money, not just what the schema looks like.

  • Clear communication with non-technical stakeholders. You can explain a discrepancy without hiding behind the pipeline.

  • Strong sense of ownership. You don’t wait to be told something is broken.

  • A team player who likes to help others and solve problems together.

  • Investigation of new technologies.

  • You have a real ‘Can Do’ work ethic - We are results-based, not clock-based!

  • You love to have fun while you work!

Nice to have:

  • Experience with a columnar/analytical database (ClickHouse, BigQuery, Snowflake, Redshift or similar)

  • Exposure to a semantic/metrics layer (Cube.dev, dbt MetricFlow, LookML, or similar)

  • Web analytics experience: event tracking, funnels, attribution, session and behavioural data (GA4, Amplitude, Mixpanel, or similar)

  • MongoDB as a source system

  • Data cataloging, documentation, or lineage tooling (OpenMetadata, DataHub, or similar)

  • Docker

  • AWS

  • Experience with high-traffic / high-volume data environments

  • Understanding of Agile principles

  • Experience working remotely

Where and when:

From wherever you want, the position is fully remote in the EU.

We’re very flexible about when you get your work done, but we do have some core hours where we like to overlap in order to promote collaboration and low-latency communication between team members (10:00 to 15:00 CET/CEST). Our daily virtual stand-ups are important for us but other than that, you’re free to manage your own time.

What we offer:

  • Fully remote position or, if preferred, working in our awesome Barcelona office!

  • Agile environment

  • Top-notch tech stack!

  • Flexible working hours + core hours!

  • 10% on top of your salary for learning and development - of your choice!

  • Latest tech equipment - Macbook Pro

  • Company Amazon book account!

  • Kodify off-sites, on-sites, events, and team activities!

  • Amazing international team!

  • 1 day off on your birthday

  • Generous vacation and personal days

  • 1 month paid sabbatical after 3 years

  • Health & Wellness budget

Read the full description
Data Analytics Operational Business Analyst & Incident Manager (Technology and Transformation)

Analyzes business operations and manages incidents for a technology transformation initiative, working remotely across LATAM in EST timezone.

Mid Remote Posted 1 day ago Jobicy AI
What this role involves
Job Title: Operational Business Analyst & Incident Manager Location Preference: 100% remote in LATAM working EST Time Zone Duration: 1-Year Assignment with possibility of extension Freelance Rate Range: $27-28/hr USD based on relevant...
Read the full description
Data Analytics Senior Data Analyst (SQL, Power BI, Looker)

Senior Data Analyst uses SQL, Power BI, and Looker to drive data-informed decision-making across large-scale platform initiatives.

Senior Remote Posted 1 day ago Himalayas
What this role involves
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.
Read the full description
Data Analytics Clinical Business Intelligence Architecture, Associate Director

Develops and stewards data infrastructure, architecture, and strategic reporting applications for insurance operations dashboards.

Lead Posted 1 day ago Himalayas
What this role involves
Become a part of our caring community The BI Arch, AD leader will be accountable for the development and stewardship of data infrastructure and architecture of various strategic reporting applications and Control Tower type dashboards for Insurance Operations division .
Read the full description
Data Analytics Operational Business Analyst & Incident Manager (Technology and Transformation)

Analyzes business operations and manages incident resolution while supporting technology and transformation initiatives across EST time zone.

Mid Remote Posted 1 day ago Jobicy AI
What this role involves
Job Title: Operational Business Analyst & Incident Manager Location Preference: 100% remote in LATAM working EST Time Zone Duration: 1-Year Assignment with possibility of extension Freelance Rate Range: $27-28/hr USD based on relevant...
Read the full description
Data Analytics Data Scientist – Quora

Data scientist analyzes data and builds models to drive insights and product decisions at Quora.

Remote Posted 2 days ago Jobicy AI
What this role involves
[Quora is a privately held, “remote-first” company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.] About...
Read the full description
Data Analytics Senior Data Analyst, Risk Analytics at SeatGeek

Senior analyst builds fraud prevention models, runs experiments, and develops AI-powered dashboards to drive risk decisioning at a ticketing platform.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

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

Read the full description
Data Analytics Workforce Analytics Model Standardization Consultant (Contractor) at Included Health

Standardizes and documents Google Sheets-based workforce planning and forecasting models while supporting recurring monthly financial and operational planning cycles.

Mid Posted 3 days ago RemoteFirstJobs Product
What this role involves

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.

---–

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.

Read the full description
Data Analytics Data Analytics Specialist (NOT REMOTE) at Continental

Designs data models, develops dashboards and reporting solutions, automates business processes, and ensures data quality and governance for enterprise analytics.

Junior Onsite Posted 3 days ago RemoteFirstJobs Product
What this role involves

Company Description

For 150 years we’ve been changing the way the world moves - now it is your chance to design the next chapter of the strategic growth field of Continental Tires. We are looking for you as an Customer Service specialist for the Shared Service Center.

Job Description

Key targets:

Responsible for development, execution and maintenance of reporting relevant for business.

Development of process automation solutions aligned with process requirements.

Development, maintenance and continuous improvement of data management solutions.

Core Responsibility Areas

1. Data Management & Data Modeling

  • Design and maintain data models for reporting and analytics.

  • Integrate multiple business data sources into efficient, sustainable data structures.

  • Ensure data quality, GDPR compliance, and adherence to internal standards.

  • Automate data refresh processes where possible.

2. Reporting

  • Define reporting requirements with business stakeholders.

  • Develop reporting concepts and dashboards aligned with business objectives.

  • Perform reporting quality assurance and testing.

  • Document KPIs, definitions, data relationships, exceptions, and reporting standards.

3. Process Automation

  • Identify business processes suitable for automation.

  • Design sustainable automation solutions with performance monitoring mechanisms.

  • Assess business impacts and dependencies across affected functions.

  • Continuously improve automated solutions through root cause analysis and optimization.

4. Project Management

  • Gather and document business requirements.

  • Create development plans, milestones, and stakeholder communication plans.

  • Manage project risks, mitigation measures, and contingency plans.

  • Ensure project documentation follows internal standards.

  • Support rollout, user training, and ongoing maintenance.

5. Quality & Governance

  • Develop and execute testing procedures before release.

  • Establish quality controls for reporting and automation solutions.

  • Maintain traceable documentation and governance standards.

  • Drive continuous improvement and operational stability.

Qualifications

You can be a perfect match in our team if you are/have:

  • Student or graduate of IT, Computer Science, Mathematics, Engineering or equivalent education programs welcomed

  • Data Modeling (Power BI, SQL, Databases)

  • Report & KPI Development

  • Data Governance & GDPR

  • Process Automation (Power Automate, RPA, workflow tools)

  • AI tools knowledge welcomed

  • Good English skills (speaking, listening, reading, and writing)

  • Good computer skills, Microsoft Office package

  • Communication skills

  • Ability to complete assigned tasks independently

  • Organizational and time management skills

  • Keen to contribute & not shy to share their thoughts with the team

Additional Information

  • A supportive and innovative environment to grow your skills
  • Flexible working hours and hybrid work options
  • Opportunity to contribute to impactful projects
  • Outlook: Opportunity to join an attractive career path
  • Health insurance package;
  • Company discounts;
  • Discounts in modern employee restaurant;
  • Extra paid time off;
  • Salary ranges are 2300-3300 EUR brutto (before withholding taxes)

Ready to drive with Continental? Take the first step and fill in the online application.

Read the full description
Data Analytics Senior Data Scientist, Fraud & Risk

Develops and implements data science models to detect fraud and assess risk for a mobile subscription monetization platform.

Senior Posted 3 days ago Jobicy AI
What this role involves
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...
Read the full description
Data Analytics Senior Analytics Manager I at BlueLabs

Analyzes large datasets using SQL and BI tools to derive strategic insights, interpret statistical findings, and communicate data-driven recommendations to clients across commercial, political, and nonprofit sectors.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

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.

Read the full description
Data Analytics Workforce Analytics Model Standardization Consultant (Contractor) at Included Health

Standardizes and documents Google Sheets-based workforce analytics models, audits dependencies, and creates operational documentation to support planning and forecasting workflows.

Mid Posted 3 days ago RemoteFirstJobs Product
What this role involves

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.

---–

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.

Read the full description
Data Analytics Senior Business Analyst - Health Insurance (Fully Remote) at CoverGo | Insurtech

Analyzes insurance business problems, gathers requirements, designs processes, creates test scenarios, and delivers actionable insights to support digital platform implementations.

Senior Remote Posted 3 days ago RemoteFirstJobs Product
What this role involves

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.

Read the full description
Data Analytics Data Analytics Specialist (NOT REMOTE) at Continental

Designs and maintains data models, develops dashboards and reports, automates business processes, and ensures data quality and governance for a shared service center.

Junior Onsite Posted 3 days ago RemoteFirstJobs Product
What this role involves

Company Description

For 150 years we’ve been changing the way the world moves - now it is your chance to design the next chapter of the strategic growth field of Continental Tires. We are looking for you as an Customer Service specialist for the Shared Service Center.

Job Description

Key targets:

Responsible for development, execution and maintenance of reporting relevant for business.

Development of process automation solutions aligned with process requirements.

Development, maintenance and continuous improvement of data management solutions.

Core Responsibility Areas

1. Data Management & Data Modeling

  • Design and maintain data models for reporting and analytics.

  • Integrate multiple business data sources into efficient, sustainable data structures.

  • Ensure data quality, GDPR compliance, and adherence to internal standards.

  • Automate data refresh processes where possible.

2. Reporting

  • Define reporting requirements with business stakeholders.

  • Develop reporting concepts and dashboards aligned with business objectives.

  • Perform reporting quality assurance and testing.

  • Document KPIs, definitions, data relationships, exceptions, and reporting standards.

3. Process Automation

  • Identify business processes suitable for automation.

  • Design sustainable automation solutions with performance monitoring mechanisms.

  • Assess business impacts and dependencies across affected functions.

  • Continuously improve automated solutions through root cause analysis and optimization.

4. Project Management

  • Gather and document business requirements.

  • Create development plans, milestones, and stakeholder communication plans.

  • Manage project risks, mitigation measures, and contingency plans.

  • Ensure project documentation follows internal standards.

  • Support rollout, user training, and ongoing maintenance.

5. Quality & Governance

  • Develop and execute testing procedures before release.

  • Establish quality controls for reporting and automation solutions.

  • Maintain traceable documentation and governance standards.

  • Drive continuous improvement and operational stability.

Qualifications

You can be a perfect match in our team if you are/have:

  • Student or graduate of IT, Computer Science, Mathematics, Engineering or equivalent education programs welcomed

  • Data Modeling (Power BI, SQL, Databases)

  • Report & KPI Development

  • Data Governance & GDPR

  • Process Automation (Power Automate, RPA, workflow tools)

  • AI tools knowledge welcomed

  • Good English skills (speaking, listening, reading, and writing)

  • Good computer skills, Microsoft Office package

  • Communication skills

  • Ability to complete assigned tasks independently

  • Organizational and time management skills

  • Keen to contribute & not shy to share their thoughts with the team

Additional Information

  • A supportive and innovative environment to grow your skills
  • Flexible working hours and hybrid work options
  • Opportunity to contribute to impactful projects
  • Outlook: Opportunity to join an attractive career path
  • Health insurance package;
  • Company discounts;
  • Discounts in modern employee restaurant;
  • Extra paid time off;
  • Salary ranges are 2300-3300 EUR brutto (before withholding taxes)

Ready to drive with Continental? Take the first step and fill in the online application.

Read the full description
Data Analytics Senior Analytics Manager I at BlueLabs

Leads strategic analytics projects by analyzing large datasets, interpreting statistical findings, and communicating insights to clients across commercial, political, and nonprofit sectors.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

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.

Read the full description