The ideal candidate will have strong experience with SQL, SAS or Python, and healthcare reporting (HEDIS, quality metrics, state/federal feeds) and be able to step in immediately, working independently to support regulatory reporting, identify high-risk or high-utilization patients, and analyze outcomes, utilization trends, provider performance, and cost of care. General Overview: This role will serve as the first dedicated, senior analytics hire, owning the full analytics lifecycle from pulling and validating data to managing ETL processes, building reports and dashboards, and delivering actionable insights to clinical, operational, and financial teams.