Senior Data Analyst, Clinical Quality and Product

Bachelor’s degree in engineering, computer science, data science, or related field, or equivalent experience. 7+ years in analytics, preferably in healthcare, digital health, or a related field. Expert SQL skills and proficiency in additional programming languages (Python or R preferred). Advanced knowledge of BI tools and data visualization, especially Tableau. Strong grasp of data management principles, governance frameworks, and data architecture design. Experience with advanced statistical methods to identify patterns, correlations, and predictive models. Experience analyzing data related to clinical outcomes, equity metrics, or quality improvement initiatives. Experience with clinical quality measurement frameworks (HEDIS, STAR ratings) is a plus. Familiarity with leveraging AI technologies (e.g., machine learning, NLP) is a plus. Experience influencing organizational OKRs through data and analytics is a plus.

Partner with Clinical Quality Program Managers and collaborate with engineering, product, analytics, and commercial teams. Oversee development of dashboards and visualizations for clinical program impact. Identify and refine performance metrics aligned with strategic goals. Champion adoption of self-service analytics. Lead analytical efforts for healthcare accreditation submissions. Apply statistical methods and machine learning models for personalized care and risk stratification. Serve as a liaison between data enablement hub and Clinical Quality team. Recommend process refinements and establish efficiency procedures.