Bluecrossnc is seeking a Senior Population Risk Performance Analyst to enhance value-based care performance measurement through advanced analytical and modeling expertise. The role focuses on applying population risk models to ensure accurate financial and quality metrics, requiring strong collaboration with actuarial and finance teams
Job Summary
This role is responsible for providing advanced analytical and modeling expertise supporting value-based care performance measurement and population risk normalization.
The Sr. Population Risk Performance Analyst applies population risk models to attributed member populations to ensure accurate, consistent, and defensible financial and quality performance measurement across value-based care programs.
This position partners closely with actuarial, finance, clinical economics, and value-based care operations teams to ensure performance outcomes appropriately reflect population acuity and contractual measurement intent.
Matching Summary
Match Score: 85
Bluecrossnc is seeking a Senior Population Risk Performance Analyst to enhance value-based care performance measurement through advanced analytical and modeling expertise. The role focuses on applying population risk models to ensure accurate financial and quality metrics, requiring strong collaboration with actuarial and finance teams.
Salary
Base: $98,092.00 - $156,947.00; Bonus/Equity: Annual Incentive Bonus*; Benefits: 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs
Skills & Requirements
Must-have
Population risk models
Value-based care programs
CMS-HCC methodologies
Healthcare claims analysis
SQL and analytical data experience
Nice-to-have
Provider settlement processes
Total cost of care measurement
Shared savings models
Population performance analytics
Key Requirements
5+ years of experience in related field
7+ years of experience in related field (in lieu of degree)
Bachelor's degree or advanced degree
Demonstrated experience with population risk models
Experience analyzing healthcare claims and eligibility datasets