Senior Population Health Data Analyst
A day in the life.
We are seeking a Senior Population Health Data Analyst to join our Planning & Analytics for Total Health team. In this role, you will translate complex healthcare data into actionable insights, develop compelling data narratives, and create intuitive dashboards that drive population health strategy and clinical decision-making. You will collaborate across clinical, population health, account management, HR, and finance teams to deliver data-driven insights and recommendations for employer plan optimization.
Some additional responsibilities include:
- Medical and Pharmacy Claims Data Analysis
Leverage deep working knowledge of medical and pharmacy claims-level data to identify patterns, anomalies, and opportunities. Understand data governance, coding standards, and the clinical implications of claims-based metrics.
- Data Storytelling & Narrative Development
Synthesize complex datasets into clear, compelling narratives that connect data findings to business outcomes. Articulate 'so what' and 'now what' for each analysis, ensuring insights lead to actionable recommendations.
- Client-Facing Presentations
Present findings to internal and external stakeholders, including clinical leaders, payers, and board members. Tailor presentations to audience sophistication, communicate uncertainty appropriately, and respond to challenging questions with confidence and clarity.
- Dashboard Development & Visualization
Design and build self-service dashboards that enable stakeholders to track KPIs, monitor trends, and drill into details independently. Choose appropriate visualizations and ensure dashboards are maintainable, performant, and aligned with business logic.
- Ad Hoc Queries and Analysis Requests
Respond rapidly to urgent data requests from leadership and clinical teams. Prioritize competing demands, validate assumptions with requestors, and deliver accurate, timely answers with appropriate caveats and context.
- Cohort Analysis & Segmentation
Define, build, and analyze cohorts to assess clinical, financial, and population health performance. Apply clinical knowledge to cohort logic, incorporate evolving inclusion/exclusion criteria, and benchmark cohort metrics against peers and historical trends.
- Data Quality Assurance & Validation
Establish and enforce rigorous data quality standards. Perform validation checks, reconcile data across sources, document known limitations, and work with data engineers and vendors to resolve data issues and improve data integrity over time.
Our future colleague.
We’d love to meet you if your professional track record includes these skills:
- Bachelor's degree in Mathematics, Statistics, Health Information Management, or related field; equivalent professional experience considered
- 7+ years of experience in healthcare data analysis, with demonstrated expertise in claims-level data and population health metrics
- Proficiency in SQL, Python, or R for data extraction, transformation, and analysis
- Experience building dashboards and data visualizations (Tableau, Power BI, Looker, or similar)
- Experience with consulting data warehouse platforms (Springbuk, Cotiviti, Cedargate or similar)
- Strong written and verbal communication skills; proven ability to present analytical findings to non-technical and clinical audiences
- Detail-oriented with demonstrated commitment to data accuracy and quality assurance
- Ability to manage multiple priorities, meet tight deadlines, and work independently as well as in collaborative teams
- Legal work authorization to work in the U.S. on a permanent and ongoing basis without the need for sponsorship now or in the future.
These additional qualifications are a plus, but not required to apply:
- Master's degree in a quantitative or healthcare-related discipline
- Experience with integrated delivery networks, health plans, or consulting firms serving healthcare clients
- Familiarity with ICD-10, CPT, and other clinical coding standards
- Knowledge of HEDIS, STARS, or other quality and performance metrics
- Experience with healthcare data platforms (e.g., Databricks, Snowflake) or EHR systems
- Track record of leading or mentoring junior analysts
We know there are excellent candidates who might not check all these boxes. Don’t be shy. If you’re close, we’d be very interested in meeting you.
Valuable benefits.
We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work.
Some benefits included in this role are:
- Generous time off, including personal and volunteering
- Tuition reimbursement and professional development opportunities
- Flexible hybrid work environment
- Charitable contribution match programs
- Stock purchase opportunities
To learn more about a career at MMA, check us out our or flip through recruiting brochure.
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