Senior Data Analyst - AI & Dermatology Claims Analytics

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.