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Senior Analytics Engineer owns data methodology, pipeline development, and validation for healthcare claims analytics that power customer-facing metrics.
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 Senior Analytics Engineer will be responsible for a range of responsibilities, including (but not limited to):
Own the data methodology
Validate the numbers
Turn requests into delivered analytics
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
Personal Attributes
Preferred Qualifications
$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.
Senior Analytics Engineer owns healthcare data methodology, pipeline development, QA, and validation to ensure accurate metrics and derived data points for downstream product consumption.
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 Senior Analytics Engineer will be responsible for a range of responsibilities, including (but not limited to):
Own the data methodology
Validate the numbers
Turn requests into delivered analytics
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
Personal Attributes
Preferred Qualifications
$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.
Analytics Manager investigates business questions, builds data models and dashboards, and provides actionable insights to drive strategy and growth across marketing and product teams.
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
Required Qualifications
Desired Qualifications
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:
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.
Leads digital analytics strategy and implementation for clients, leveraging data insights to drive business decisions and optimization.
Designs dashboards, builds dbt models and ETL pipelines, and performs analysis to deliver trusted data insights across product, marketing, finance, and operations teams.
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
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.
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
Analyzes business operations and manages incidents for a technology transformation initiative, working remotely across LATAM in EST timezone.
Senior Data Analyst uses SQL, Power BI, and Looker to drive data-informed decision-making across large-scale platform initiatives.
Develops and stewards data infrastructure, architecture, and strategic reporting applications for insurance operations dashboards.
Analyzes business operations and manages incident resolution while supporting technology and transformation initiatives across EST time zone.
Data scientist analyzes data and builds models to drive insights and product decisions at Quora.
Senior analyst builds fraud prevention models, runs experiments, and develops AI-powered dashboards to drive risk decisioning at a ticketing platform.
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.
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.
Standardizes and documents Google Sheets-based workforce planning and forecasting models while supporting recurring monthly financial and operational planning cycles.
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.
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.
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.
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.
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.
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.
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.
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.
Experience building and leading forecasting or analytics teams, including setting priorities, establishing delivery standards, coaching analysts, and creating repeatable operating practices.
Experience with Apps Script, Python, or another scripting language for lightweight data analysis or workflow automation.
Experience establishing model governance, version-control practices, documentation standards, review checklists, or audit-ready controls.
Experience working in a regulated, audited, SOX-adjacent, healthcare, financial services, or similarly controlled environment.
Experience with Jira workflow design for analytics intake, triage, prioritization, review, or delivery.
Experience producing recurring pre-reads or standardized planning packages for Finance, Operations, or executive stakeholders.
Familiarity with workforce management, contact center, clinical operations, care delivery, or other environments where demand, staffing, capacity, and productivity are closely connected.
The United States hourly range for this full time, contract position is $85/hour - $100/hour.
Below is additional information on Included Health’s commitment to maintaining transparent and equitable compensation practices across our distinct geographic zones.
Starting hourly rate for you will depend on several job-related factors, unique to each candidate, which may include education; training; skills; years and depth of experience; certifications and licensure; our needs; internal peer equity; organizational considerations; and understanding of geographic and market data. Compensation structures and ranges are tailored to each zone’s unique market conditions to ensure that all contractors receive fair and great compensation based on their roles and locations. Your Recruiter can share your geographic zone upon inquiry.
About Included Health
Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.
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Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants with arrest or conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, and California law.
Included Health uses AI-assisted tools at select stages of the hiring process to enhance efficiency, consistency, and communication. AI does not make hiring decisions—final decisions are made exclusively by our recruiting and hiring teams.
Designs data models, develops dashboards and reporting solutions, automates business processes, and ensures data quality and governance for enterprise analytics.
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.
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.
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
Ready to drive with Continental? Take the first step and fill in the online application.
Develops and implements data science models to detect fraud and assess risk for a mobile subscription monetization platform.
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.
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:
Tools of the Trade
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:
Such other reasonable tasks may be assigned by management.
What we are seeking
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:
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.
Standardizes and documents Google Sheets-based workforce analytics models, audits dependencies, and creates operational documentation to support planning and forecasting workflows.
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.
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.
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.
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.
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.
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.
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.
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.
Experience building and leading forecasting or analytics teams, including setting priorities, establishing delivery standards, coaching analysts, and creating repeatable operating practices.
Experience with Apps Script, Python, or another scripting language for lightweight data analysis or workflow automation.
Experience establishing model governance, version-control practices, documentation standards, review checklists, or audit-ready controls.
Experience working in a regulated, audited, SOX-adjacent, healthcare, financial services, or similarly controlled environment.
Experience with Jira workflow design for analytics intake, triage, prioritization, review, or delivery.
Experience producing recurring pre-reads or standardized planning packages for Finance, Operations, or executive stakeholders.
Familiarity with workforce management, contact center, clinical operations, care delivery, or other environments where demand, staffing, capacity, and productivity are closely connected.
The United States hourly range for this full time, contract position is $85/hour - $100/hour.
Below is additional information on Included Health’s commitment to maintaining transparent and equitable compensation practices across our distinct geographic zones.
Starting hourly rate for you will depend on several job-related factors, unique to each candidate, which may include education; training; skills; years and depth of experience; certifications and licensure; our needs; internal peer equity; organizational considerations; and understanding of geographic and market data. Compensation structures and ranges are tailored to each zone’s unique market conditions to ensure that all contractors receive fair and great compensation based on their roles and locations. Your Recruiter can share your geographic zone upon inquiry.
About Included Health
Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com.
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Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants with arrest or conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, and California law.
Included Health uses AI-assisted tools at select stages of the hiring process to enhance efficiency, consistency, and communication. AI does not make hiring decisions—final decisions are made exclusively by our recruiting and hiring teams.
Analyzes insurance business problems, gathers requirements, designs processes, creates test scenarios, and delivers actionable insights to support digital platform implementations.
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
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.
Designs and maintains data models, develops dashboards and reports, automates business processes, and ensures data quality and governance for a shared service center.
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.
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.
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
Ready to drive with Continental? Take the first step and fill in the online application.
Leads strategic analytics projects by analyzing large datasets, interpreting statistical findings, and communicating insights to clients across commercial, political, and nonprofit sectors.
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:
Tools of the Trade
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:
Such other reasonable tasks may be assigned by management.
What we are seeking
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:
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.