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Medical Data Analyst (Actuarial Analyst)

Thank you for considering the Medical Data Analyst position at Reveal Health Tech. We are a Series A-stage IT startup based in the US and India, delivering technology-driven solutions for the healthcare and life sciences industry as we scale toward our next phase of growth.

Requirements

About the Role

We're looking for a Medical Data Analyst who can turn messy healthcare data into crisp, decision-ready insights. You'll build end-to-end analytics solutions, support value-based care initiatives, and partner closely with provider groups, specialty groups, and payers to surface opportunities that improve outcomes, margin performance, and total cost of care. You'll also play a key role in analyzing actuarial and contract performance dynamics- evaluating utilization trends, PMPM/TCOC, and contract benchmarks to ensure programs are financially aligned and sustainable.

What You'll Do

Build analytics products: Own the full Power BI lifecycle—data modeling, DAX, visuals, RLS, deployment, and documentation
Enable value-based care (VBC): Define and track measures (e.g., readmissions, avoidable ER/IP, adherence, risk acuity, PMPM/TCOC), attribution logic, and cohorting
Actuarial & contract performance analysis: Support actuarial-oriented analyses including PMPM + risk-adjusted cost modeling, benchmarking, savings reconciliation, trend analysis, and scenario modeling
Data wrangling & QA: Ingest, clean, validate, and reconcile claims, eligibility, EMR, and care-management data
Performance tracking: Build scorecards and drill-downs for executives, clinicians, care teams, actuarial partners, and payer counterparts
Operationalize insights: Create recurring datasets, alerts, and self-service dashboards; document metric definitions, lineage, and reconciliation rules
Governance & compliance: Uphold HIPAA/privacy requirements and contribute to data quality standards
Ad-hoc analysis: Run cohort analyses, payer/provider comparisons, utilization analysis, risk-adjusted benchmarking, leakage patterns, and trend studies

Minimum Qualifications

3+ years in healthcare analytics, actuarial services, population health, or payer/provider performance
Strong Power BI (DAX, Power Query/M, data modeling, RLS)
Solid SQL (CTEs, window functions, performance tuning) and comfort with large datasets
Hands-on with claims/eligibility (837/835 concepts, CPT/HCPCS/ICD-10, NPI, taxonomy), EMR extracts, and payer/provider data nuances
Experience collaborating with provider groups and payers—requirements gathering, walkthroughs, and iteration
Understanding of value-based care concepts (TCOC, PMPM, savings reconciliation, attribution, risk adjustment, quality measures)
Ability to convert ambiguous analytic questions into concrete business metrics with documented methodologies

Preferred Qualifications

Experience with actuarial or contract modeling, shared savings, capitation, bundles, or delegated risk arrangements
Experience in cardiology/specialty care, care-management, or remote patient monitoring
Python or R for data prep/statistics; exposure to dbt or ETL tooling
Cloud data platforms (Azure Synapse/SQL, Databricks, Snowflake, or Redshift)
Familiarity with HEDIS/STARs, RAF/HCC models, quality specifications, and performance reporting
Data governance: lineage, cataloging, metric definitions, reconciliation rules

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