Some additional responsibilities include:
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Medical and Pharmacy Claims Data Analysis
Leverage deep working knowledge of medical and pharmacy claims-level data to identify patterns, anomalies, and opportunities. Understand data governance, coding standards, and the clinical implications of claims-based metrics.
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Data Storytelling & Narrative Development
Synthesize complex datasets into clear, compelling narratives that connect data findings to business outcomes. Articulate ‘so what’ and ‘now what’ for each analysis, ensuring insights lead to actionable recommendations.
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Client-Facing Presentations
Present findings to internal and external stakeholders, including clinical leaders, payers, and board members. Tailor presentations to audience sophistication, communicate uncertainty appropriately, and respond to challenging questions with confidence and clarity.
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Dashboard Development & Visualization
Design and build self-service dashboards that enable stakeholders to track KPIs, monitor trends, and drill into details independently. Choose appropriate visualizations and ensure dashboards are maintainable, performant, and aligned with business logic.
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Ad Hoc Queries and Analysis Requests
Respond rapidly to urgent data requests from leadership and clinical teams. Prioritize competing demands, validate assumptions with requestors, and deliver accurate, timely answers with appropriate caveats and context.
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Cohort Analysis & Segmentation
Define, build, and analyze cohorts to assess clinical, financial, and population health performance. Apply clinical knowledge to cohort logic, incorporate evolving inclusion/exclusion criteria, and benchmark cohort metrics against peers and historical trends.
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Data Quality Assurance & Validation
Establish and enforce rigorous data quality standards. Perform validation checks, reconcile data across sources, document known limitations, and work with data engineers and vendors to resolve data issues and improve data integrity over time.