Advanced Dermatology and Cosmetic Surgery (ADCS Clinics LLC)
Jobs
Senior Data Analyst - AI & Dermatology Claims Analytics
Senior Data Analyst - AI & Dermatology Claims Analytics
The Role
Leads analytics across large dermatology claims, EMR, revenue cycle, payer, and provider datasets. Identifies revenue leakage, denial trends, coding opportunities, and reimbursement improvements; develops AI-assisted workflows using Azure AI, Copilot, and LLMs; builds executive dashboards; and supports forecasting, budgeting, payer contract analytics, and strategic planning. Partners with IT, Finance, Revenue Cycle, Clinical Operations, managed care, and executive leadership.
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
- Advanced SQL
- Python
- Power BI
- Microsoft Fabric
- Azure Data Services
- Databricks or Snowflake
- Healthcare data warehousing experience
- Machine learning and predictive analytics experience
- Experience with large healthcare claims datasets
- Master's degree
- 5+ years of healthcare analytics experience
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Advanced Dermatology and Cosmetic Surgery is a multi-location dermatology and aesthetic-care practice serving patients through offices across the United States. Its clinicians provide medical, surgical, and cosmetic dermatology, including skin cancer treatment and other skin-health services. The company’s mission is to deliver high-quality patient care and experience in dermatology and aesthetic services, combining clinical expertise with cosmetic treatments and a broad national network.
