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Salary: USD 110,000 - 120,000 / annual
Hopscotch Primary Care is transforming healthcare in rural America by providing high-quality primary care through a value-based care model. The company serves thousands of patients across rural communities, addressing the gap where nearly 20% of Americans live in rural areas but only 11% of physicians practice there.
The Sr. Analyst, Health Plan Analytics role operates at the intersection of FP&A, analytics, and population health. You will turn claims and clinical data into actionable insights that drive Hopscotch's value-based care performance. Working on top of the company's engineering-governed data foundation, you will mature and maintain the standard claims model and reporting infrastructure that underpins financial close, clinical review, and performance management.
Key responsibilities include:
- Support the in-house build of Hopscotch's cost categorization capability, including customizations, updates for new code and mappings, and change management
- Own ongoing maintenance, enhancements, governance, change control, and documentation for payer data and cost categorization capabilities
- Build and maintain the medical economics reporting suite (SQL, Power BI, Excel) and support IBNR estimation, cohort forecasting, and paid-risk pacing
- Review monthly outputs to surface cost drivers and emerging trends, distinguishing real movement from incomplete claims and statistical noise
- Analyze medical cost trends across factors such as unit cost, utilization, and mix; enrich claims with EHR, eligibility, provider, and risk adjustment data
- Work with medical economics and finance leadership on high-impact analyses, including pro forma and ROI for medical cost initiatives
- Partner across Clinical, Operations, and Finance to translate business questions into analyses and build repeatable analytic processes
You are technically excellent with strong judgment—equally capable of building infrastructure and interrogating outputs to identify when numbers don't pass the smell test. You exercise critical thinking, understand healthcare data conceptual frameworks and database relationships, and are comfortable with ambiguous problems and immature data. You form a point of view, document as you build, and take pride in explaining what's driving results and why it matters. You're a self-starter with an ownership mindset who thrives in fast-paced environments.
QUALIFICATIONS:
- Bachelor's degree in Economics, Finance, Statistics, Mathematics, Health Informatics, Actuarial Science, or related quantitative field
- 3+ years of experience in healthcare analytics or medical economics (payer, provider, health system, ACO, or value-based care)
- High proficiency in SQL, Power BI, and Excel
- Hands-on experience with healthcare claims data and combining multiple data sources (claims, eligibility, EHR, risk adjustment)
- Familiarity with healthcare financial and utilization concepts (PMPM, MLR, utilization per 1,000, trend, risk adjustment)
- Experience with maturing data models and identifying improvement opportunities while generating value from nascent datasets
- Experience presenting and communicating data-driven insights to functional leaders
PREFERRED QUALIFICATIONS:
- Direct value-based care / medical-economics analytics experience and familiarity with claims cost categorization methodologies
- Experience with Palantir Foundry or comparable enterprise data platform
- Comfort using AI-assisted tooling to accelerate build and analysis
- Statistical methods (regression, difference-in-differences, propensity score matching)
- Experience leading technical/analytical projects with combined functional and technical teams
