Description

What You'll Do

We are seeking a Lead Analyst, Risk Adjustment Analytics to join our high-performing, insights-driven team. You will play a critical role in evaluating financial performance, uncovering areas of opportunity, and translating complex data into actionable strategies. Your work will directly influence how Strive supports patients, clinicians, and markets in achieving both clinical and financial success. This position will be working on a hybrid schedule with 2-3 days in-office at our Denver HQ.

Essential Functions 

• Translate RA performance data into clear financial insights (i.e. revenue impact, payment accuracy, ROI, forecasting).
• Analyze CMS data to identify areas of opportunity to increase operational efficiency.
• Interpret trends, model scenarios, and assess program and policy impacts.
• Enable data-driven decisions by linking operational performance to enterprise financial outcomes.
• Perform end-to-end reconciliation from submissions to CMS acceptance, RAF leakage, and implement controls.
• Develop business cases to assess opportunity, determine target metrics, and provide data driven insights to support investment decisions (i.e. staffing, tech, etc.).
• Prepare and deliver clear and concise reports, presentations, and recommendations to senior leadership, illustrating the findings and implications of analyses conducted. 

Who You Are 

• A highly analytical problem-solver with a strong sense of ownership and intellectual curiosity.
• Able to manage a high volume of recurring and ad hoc deliverables without compromising quality.
• Comfortable navigating ambiguity and bringing structure to complex problems.
• An exceptional communicator who can translate technical findings into actionable business recommendations. 

Requirements

Qualifications 

• 4+ years of experience in risk adjustment analytics.
• 4+ years of experience analyzing MMR, MOR, MAO-004 and medical claims data.
• 3+ actuarial exams passed.
• High degree of proficiency in Microsoft Excel and SQL.  
• Experience with PBI, Redshift, dbt docs is a plus.
• Bachelor’s degree in a quantitative or health-related field (e.g., Economics, Public Health, Statistics, Health Services Research, Math, Finance).