The Role
Leads analytics across dermatology claims, EMR, revenue cycle, and operational datasets. Identifies revenue leakage, denial trends, coding opportunities, and reimbursement improvements; develops AI-assisted workflows, predictive models, anomaly detection, dashboards, forecasts, and KPI reporting. Partners with finance, managed care, clinical operations, IT, and executive leadership on payer performance, budgeting, strategic planning, and healthcare analytics governance.
Summary Generated by Built In
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.
- 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.
- 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.
- Advanced SQL
- Python
- Power BI
- Microsoft Fabric
- Azure Data Services
- Databricks or Snowflake
- Healthcare data warehousing
- Machine learning and predictive analytics
- Dermatology claims analytics
- Revenue cycle management
- Medical coding
- Payer reimbursement methodologies
- Provider productivity analytics
- Value-based care and population health
- Prompt engineering
- Generative AI assisted reporting
- Predictive analytics
- Anomaly detection
- Natural language processing
- Model validation and governance
- Reimbursement improvement opportunities identified
- Dashboard adoption
- Forecast accuracy
- Reduction in manual reporting effort
- Denial trend visibility
- Executive stakeholder satisfaction
- Bachelor degree in quantitative discipline required.
- Masters degree preferred.
- 5+ years healthcare analytics experience preferred.
- Experience with large healthcare claims datasets required.
Skills Required
- Bachelor's degree in a quantitative discipline
- Experience with large healthcare claims datasets
- Advanced SQL
- Python
- Power BI
- Microsoft Fabric
- Azure Data Services
- Databricks or Snowflake
- Healthcare data warehousing
- Machine learning and predictive analytics
- Master's degree
- 5+ years of healthcare analytics experience
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The Company
What We Do
Advanced Dermatology and Cosmetic Surgery is a nationwide dermatology and cosmetic surgery practice with more than 150 offices in 14 states. Founded in 1989, it provides medical, surgical, cosmetic, and aesthetic care for skin, hair, and nail conditions, including skin-cancer treatment and rejuvenation services. The company combines experienced clinicians, compassionate care, and leading-edge technology to deliver individualized treatment and a patient-focused experience.
