Job Summary
A company is looking for a Lead Data Analyst, Medicare Risk Adjustment (Hybrid).
Key Responsibilities
- Engage in data exploration and analysis using various programming languages and database structures
- Collect, analyze, and interpret data to provide business recommendations and insights
- Lead the design, development, validation, and delivery of data solutions while mentoring team members
Required Qualifications
- Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business, or a related field, or 4 additional years of relevant work experience in lieu of a degree
- 8 years of experience in an analytical/quantitative role
- Experience in the healthcare industry with a focus on Medicare risk adjustment
- Proficiency in SQL, Power BI, and Excel
- Hands-on experience with Big Data/NoSQL platforms and project management skills
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