This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Principal Data Analyst to serve as a technical and analytical leader across our healthcare data ecosystem. This role goes far beyond report building - you will define analytic standards, design core data models, and own the clinical and financial logic that leadership relies on to run the business working across Epic Clarity, medical claims, pharmacy claims, and other core data assets. This is a hands-on, senior-level individual contributor role for someone who combines deep Epic expertise with strong healthcare domain knowledge and modern analytics / engineering practices. - Master enterprise-level analytics across Habitat’s Epic Clarity, medical claims, pharmacy claims, and related healthcare and operational data assets. - Translate complex clinical and financial questions into durable, scalable analytic solutions designed and developed with a “platform-first mentality” to enable other developers. - Support executive and clinical leadership decision-making by designing, building, and maintaining trusted dashboards, KPI definitions, and “curated” analytic DataMarts. - Use SQL, Power BI, Git, and Jira in a manner that raises the bar and sets the standards for best practices within the broader data team. - Partner with data engineering to design and govern canonical data marts, ETL processes, and documented business rules that ensure consistency across all downstream analytics. - Develop and maintain rigorous clinical and claims-based logic for longitudinal patient analyses, quality measures, utilization metrics, and value-based care performance. - Lead data quality, testing, documentation, and code review standards to ensure analytics are accurate, auditable, reproducible, and production-ready. - Build and maintain externally facing regulatory and audit reporting (CMS, Medicaid, PACE) in a scalable and defensible manner. - Act as a technical leader and mentor within the data team, elevating analytic rigor and best practices without formal people management. Qualifications - 10+ years of hands-on experience as an analyst / leader in healthcare data analytics. - Expert level mastery of Epic Clarity and/or medical claims datasets. - Advanced SQL skills, including complex joins, window functions, performance optimization, and readable, maintainable query design. - Experience designing and building enterprise-grade dashboards with drill-down functionality in Power-BI or another data visualization tool. - Deep understanding of healthcare data ontologies including CPT, HCPCS, HCC, ICD-10, NDC, Revenue Codes, Type of Bill, LOINC, UB/HCFA claims, etc. - Proven experience developing longitudinal patient analyses using complex clinical logic, while interfacing with subject matter experts like MDs, Pharm-Ds, epidemiologists, etc. - Excellent communication skills; able to explain technical concepts to non-technical stakeholders at a high level with all the supporting documentation in your back pocket. - Track record of working in cross-functional teams, ideally in a value-based care, PACE, or managed care environment. - A team first mentality within our team; a company first mentality when working across Habitat teams. Requirements - Experience developing in a modern data stack using Databricks, Python, and/or Airflow. - Experience working in early-stage or rapidly scaling healthcare organizations. - Experience with Medicare Advantage, PACE, and/or dual eligible populations. Benefits - This role is eligible for medical/dental/vision insurance. - Short and long-term disability. - Life insurance. - Flexible spending accounts. - 401(k) savings. - Paid time off. - Company-paid holidays. - The expected salary range for this position is $146,000 - $170,000 and is bonus-eligible.

• Closely support stakeholders in making data-driven decisions. • Work with different InPost departments and business lines. • Gather requirements, harness large-scale, real-time data from various sources, analyze it and, prepare insights and recommendation about business critical areas and processes. • Design, develop, and extend our data model layers that support optimized and scalable calculations and visualizations of successful analytics outcomes. • Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment. • Maintain and advocate for these standards through code reviews. • Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Business Analysts to deliver integrated data solutions. • Prototype and coordinate data visualizations.

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 survey of industry elites for a major corporation to consider in their paid communication? 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? 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 requires a mix of analysis and data management as well as client presentation and communication. You’ll be responsible for hard analysis as well as putting together the data infrastructure, reports, and calculators that will power our solutions as well as creating the client-facing materials that summarize those findings. Analysts at BlueLabs are the ones with the best understanding of the nuances of a client’s data and our solutions. They can execute on the perfect solution but can also discover the answer that gets us 95% of the way there is a quicker and more efficient way. Some of our work is templated, but our team excels when they come up with creative solutions to the problems. This will require creating new calculators or analyzing existing outputs in a new light. 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. 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 What we are seeking: 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 are passionate about harnessing data-driven solutions to improve social outcomes You can manage large projects from beginning to end, taking ownership of the work and the end product You can tackle broad, open-ended questions with minimal guidance You possess strong leadership skills and the ability to guide and mentor junior analysts on the team to ensure successful completion of the project You’re eager to learn techniques in data management, analysis, and visualization You can recognize patterns and are careful to check assumptions--whether they are your own or someone else’s You have excellent attention to detail and a keen eye for design Your experience manipulating 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’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) What Recruitment Looks Like: We expect to onboard this position in February 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 compensation and benefits package including: Salary: $95,000 Premier health, dental, and vision insurance plans 401K matching Unlimited paid time off Paid personal and volunteer leave 13 paid holidays 15 weeks paid parental leave Professional development stipend & tuition reimbursement Macbook Pro laptop & tech accessories Bring Your Own Device (BYOD) stipend for mobile device Employee Assistance Program (EAP) Supportive & collaborative culture Flexible working hours Remote friendly (within the U.S.) Pre-tax transportation options for commuting to our office in Washington, DC Lunches and snacks And more! The salary range for candidates who meet the minimum posted qualifications reflects the Company’s good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting.

• Use SQL to analyze clinical, operational, financial, and administrative data generated in Epic’s electronic health record (EHR) and practice management (PM) systems and stored in Epic’s back-end Clarity data model. • Leverage Epic’s in-app reporting tools including Slicer Dicer, Reporting Workbench (RWB), and Radar to answer data questions from internal Habitat customers in the simplest / easiest / most scalable way possible. • Enable leadership to make evidence-based decisions by designing, building, and maintaining business intelligence dashboards and data pipelines using tools such as Power BI, SQL, and Git • Work with engineering to design and develop ETL processes that support consistent KPI reporting via Data Marts with clear documentation that codifies our standard “business rules” layer • Develop rigorous data quality tests, QC best practices, code reviews / Git pull requests, dashboard release processes, and proper documentation to ensure your work is accurate and clearly communicated • Develop detailed clinical logic and code sets for patient cohorts and quality measures including diagnosis groupers, hospital admissions, readmissions, ED visits, SNF visits etc. across a wide range of clinical facts and dimensions • Build externally facing reports including PACE-specific measures and CMS / Medicaid regulatory and audit reporting in a scalable manner • Work closely with other data team members to ensure you benefit from all the great work happening around you!