Role Overview
The Sr. BI Analyst is a senior leader within Population Health Analytics, responsible for delivering data and analytics solutions that support value-based care (VBC) strategy and performance.
This role requires deep expertise in risk adjustment, population health programs, and clinical + claims data integration, including strong working knowledge of Epic data structures and data flow to external analytics platforms (e.g., Arcadia).
The individual will partner across clinical, operational, managed care, IT, and vendor teams to drive initiatives aligned to contract performance (MSSP, MA), RAF optimization, and cost/utilization management.
This role operates within the Population Health program and leads execution of initiatives within the function.
Core Responsibilities
Population Health & Analytics Leadership
Serve as a subject matter expert in population health, VBC programs, and risk adjustment (RAF)
Support initiatives tied to MSSP, Medicare Advantage, and other risk-based contracts
Translate business needs into analytics solutions that drive quality, cost, and utilization improvement
Additional Responsibilities: Program Execution & Delivery Leadership
Initiative Execution
Translate requirements into structured workplans with clear ownership and timelines
Identify risks, dependencies, and constraints; drive resolution to maintain progress
Cross-Functional Coordination
Coordinate across analytics, IT, clinical, operational, and vendor teams
Align stakeholders to population health priorities and contract requirements
Demonstrate understanding of CIN / Clinical Partner dynamics, including provider engagement and performance accountability
Stakeholder Communication
Deliver concise, executive-ready updates on progress, risks, and decisions
Lead working sessions, validation reviews, and governance discussions
Clearly communicate risk adjustment, attribution, and performance insights
Data & Delivery Oversight
Oversee data validation, QA/UAT, and release readiness
Ensure alignment between business requirements, technical build, and end-user needs
Strong knowledge of:
Risk adjustment (CMS-HCC, RAF, suspected conditions workflows)
Epic data structures (encounters, diagnoses, problem lists, orders)
End-to-end data flow from EMR external analytics platforms
Governance & Continuous Improvement
Maintain key documentation (plans, decisions, requirements, validation results)
Ensure deliverables meet governance and audit standards
Identify opportunities to improve analytics delivery and population health workflows 60%