Senior Data Analyst - AI & Dermatology Claims Analytics

Job description

SENIOR DATA ANALYST – AI & DERMATOLOGY CLAIMS ANALYTICS Comprehensive Position Description Reporting Structure • Dual reporting relationship: Technical reporting to Chief Information Officer; Functional reporting to Vice President of FP&A. • Acts as liaison between IT, Finance, Revenue Cycle, Clinical Operations and Executive Leadership. Position Summary • Lead analytics initiatives involving large dermatology claims, EMR, revenue cycle and operational datasets. • Leverage AI tools and advanced analytics to improve reimbursement, forecasting and operational performance. Primary Responsibilities • Analyze millions of claims records across CPT, HCPCS, ICD-10, payer and provider dimensions. • Identify revenue leakage, denial trends, coding opportunities and reimbursement optimization opportunities. • Develop AI-assisted analytical workflows using Copilot, Azure AI and LLM technologies. • Build executive dashboards and KPI reporting. • Support budgeting, forecasting and strategic planning initiatives. • Partner with managed care on payer contract performance analytics. Technical Requirements • Advanced SQL • Python • Power BI • Microsoft Fabric • Azure Data Services • Databricks or Snowflake • Healthcare data warehousing • Machine learning and predictive analytics Healthcare Domain Expertise • Dermatology claims analytics • Revenue cycle management • Medical coding • Payer reimbursement methodologies • Provider productivity analytics • Value-based care and population health AI Competencies • Prompt engineering • Generative AI assisted reporting • Predictive analytics • Anomaly detection • Natural language processing • Model validation and governance Key Performance Indicators • Reimbursement improvement opportunities identified • Dashboard adoption • Forecast accuracy • Reduction in manual reporting effort • Denial trend visibility • Executive stakeholder satisfaction Qualifications • Bachelor degree in quantitative discipline required. • Masters degree preferred. • 5+ years healthcare analytics experience preferred. • Experience with large healthcare claims datasets required.