The Senior Healthcare Data Analyst delivers actionable analytics that support enterprise clinical, operational, and financial decisions. The role develops reliable data assets, creates insightful reporting, and applies advanced analytical techniques to drive measurable outcomes in partnership with cross functional teams—while maintaining strong compliance and data governance standards. Note: Program specifics (e.g., Medicare Advantage, Medicaid, Commercial/ ACA, Quality/ Stars/ HEDIS, Value Based Care, Risk Adjustment) and team tools will be listed in the job posting for each department. Job Duties. Analytics and Insight Generation: Conduct comprehensive analysis of utilization, cost, quantity, and outcomes to uncover drivers, risks, and opportunities and deliver executive-ready insight that inform strategic decisions Risk Adjustment and Revenue Integrity (as applicable): Apply risk adjustment methodologies to monitor revenue, generate recurring risk reports, and partner with cross-functional teams to identify and support score-improvement opportunities. Data Engineering Lite and Data Quality: Ensure data accuracy and reliability by profiling and reconciling datasets, resolving anomalies, and maintaining documented logic, lineage, and governance standards. Reporting and Visualization: Develop and maintain user-friendly dashboards and automated reports, standardizing key metrics and refresh schedules to support leaders and providers. Stakeholder Partnership and Communication: Serve as a subject matter expert and translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders. Project Leadership and Mentorship: Lead analytic projects end-to-end and mentor peers by promoting best practices in methodology, coding, documentation, and visualization. Compliance, Privacy, and Security: Uphold HIPAA, CMS/ State regulations, and governance standards by maintaining compliant, audit-ready processes and documentation. Continuous Improvement and Automation: Enhance efficiency through automation, improved data pipelines, and evaluation of emerging tools, including responsible Gen. AI, to drive productivity and reusability. Minimum Qualifications. Bachelor’s Degree Statistics, Mathematics, Economics, Data Science, Public Health, Health Informatics or equivalent experience 5 years 5 years of progressive experience in healthcare analytics (payer, provider, or health tech), including hands on work with claims/encounters and membership/enrollment data. and Proficiency in SQL and at least one analytics language (Python or R) for data manipulation, analysis, and reproducible workflows. - Experience building dashboards and reports in applications like Power BI, Tableau, and Qlik. - Demonstrated ability to structure ambiguous problems, synthesize complex findings, and communicate clearly to executive audiences. - Experience with Medicare Advantage, Medicaid, and/or Commercial/ ACA programs; familiarity with risk adjustment models (e.g., HCC, CDPS Rx) and quality programs (e.g., HEDIS, Stars). - Knowledge of provider coding and reimbursement (e.g., CPT, ICD 10, DRG), and managed care operations (UM/ CM/ DM). - Exposure to cloud data platforms (e.g., Azure/ Synapse/ Databricks, Snowflake, Big. Query, or similar) and modern ELT/ ETL practices. - Statistical modeling, forecasting, or predictive analytics experience; A/ B testing and causal inference a plus. - Experience supporting value based care, provider performance analytics, and provider engagement.