Data Analyst - 176152

Zachary Piper Solutions is seeking a Data Analyst (Healthcare Fraud) to support a Department of Veterans Affairs Veterans Health Administration healthcare fraud, waste, and abuse initiative. The role analyzes healthcare data, develops fraud-detection rules and workflows, and produces actionable leads and analytics for government review.

Responsibilities:

• Develop and maintain fraud detection business rules, algorithms, and analytical workflows to identify healthcare fraud, waste, and abuse
• Analyze healthcare claims, provider, enrollment, and exclusion datasets to support provider risk scoring and case prioritization
• Build and support data pipelines, transformations, and analytics workflows within the Palantir platform
• Perform anomaly detection, network analysis, and trend analysis to identify suspicious billing patterns and coordinated fraud schemes
• Create dashboards, reports, and executive-level analytics supporting fraud prevention, payment integrity, and improper payment reduction initiatives

Requirements:

• Bachelor's degree in Data Science, Statistics, Computer Science, Health Informatics, Information Technology, or a related field
• 2-5 years of experience supporting federal healthcare analytics, including Medicare, Medicaid, VHA, or related healthcare programs
• Experience developing analytical business rules for fraud detection, payment integrity, healthcare claims analytics, or related use cases
• Strong experience with SQL and Python
• Knowledge of healthcare claims data, including CPT, HCPCS, ICD-10, NPI, provider, and beneficiary data
• Experience with data pipelines, data transformations, dashboards, and analytics platforms
• Ability to pass a Tier 2 / Moderate Background Investigation (MBI) and obtain a VA PIV card
• Legal authorization to work in the United States
• ability to handle PHI in accordance with HIPAA and VA security requirements
• experience with PySpark or R is highly desired