• Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems using PBM data. • Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM financial risk engine, leveraging claims, eligibility, pricing, rebates, guarantees and contract data in our Unified Data Warehouse (UDW). • Translate complex PBM contract and pricing structures (e.g plan paid vs. member paid, rebates, guarantees, caps, fees, exclusions) into transparent, auditable data models that enable financial analysis and risk assessment. • Partner closely with underwriting, finance, client success and PBM operations teams to understand financial assumptions, risk drivers and reporting requirements and convert them into reliable metrics and models. • Build curated financial and risk data marts and semantic layers that enable self service analysis for forecasting, scenario modeling and executive reporting among other things. • Own core financial KPIs and risk metrics E2E from raw claims and contract inputs through production grade models, ensuring consistency and traceability. • Implement automated data quality checks, reconciliations and controls to validate financial outputs and ensure alignment with source systems and contractual logic. • Continuously optimize data models and warehouse performance to support large scale claims volumes and time-sensitive financial analysis. • Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability. • Communicate complex financial insights clearly through data memos, documentation and presentations for both technical and non technical stakeholders. • Explore advanced analytics and predictive modeling use cases (e.g utilization forecasting, trend analysis, risk stratification, margin sensitivity) to enhance financial planning and decision making. Experience operationalizing ML models is a plus.