Key Responsibilities
Identify and quantify market opportunities; forecast utilization trends and performance.
Develop, monitor, and refine predictive models (e.g., regression, decision trees) to improve forecasting accuracy.
Convert data into strategic recommendations and present clear, actionable findings to BD, Marketing, and senior leadership.
Design data architecture and use SQL/Snowflake to pull, analyze, and visualize results.
Collaborate cross-functionally to embed data-driven insights into business strategy.
Ensure quality, accuracy, and timely delivery of reporting and project goals.
Requirements
Master’s degree + 5+ years in Data Analytics, Data Science, Statistics, Econometrics, or related quantitative field.
Required: Healthcare industry experience; Python (including ML models); Power BI; SQL/Snowflake; R; Microsoft Office.
Strong strategic problem-solving and superior communication skills for technical/non-technical audiences.
Proactive communicator; comfortable meeting deadlines and escalating issues.
Stay current on emerging tech (e.g., AI) relevant to the role.
Preferred: Claims data experience.