The individual will analyze complex healthcare claims and develop quality and outcomes measures to create actionable data products. The role involves integrating data from various healthcare sources to validate and implement metrics. Responsibilities include identifying excessive or low-value service patterns and quantifying their impact across provider populations. The person will partner with clinical stakeholders to ensure analytical outputs align with care delivery contexts. Additionally, the role requires developing and deploying statistical models to support trend analysis and quality measure development. Finally, the individual will manage data pipelines and present analytical results to leadership stakeholders.

Candidates must possess at least four years of experience in healthcare data analytics with specific expertise in commercial, Medicare, and Medicaid claims data. Proficiency in SQL, Python, R, or SAS is required, along with experience in a Databricks environment. A bachelor's degree in a quantitative field such as Statistics, Public Health, or Computer Science is necessary. Furthermore, the role requires deep familiarity with US healthcare coding systems and data governance standards like HIPAA.