Senior Health Data Analyst - Payer
Veeva Systems · New York, NY · 2 wk ago
RemoteRemoteAnalyst$80k–$125k/yrFull-time
About the role
Veeva Systems is seeking a Senior Health Data Analyst to join the Veeva Compass Product Team. This role plays a crucial part in supporting the core data structures and processes that drive the development of Payer data.
Responsibilities
- Collect and Maintain Source Data: Identify new data sources and opportunities for automation to ensure all information remains accurate and current.
- Analyze Data Quality: Execute ongoing quality improvement plan to refine matching process and reduce unmapped data.
- Establish Governance Standards: Define and maintain standards, documentation, and stewardship models for the payer data domain.
- Stay Current on the Payer Landscape: Track market trends, including mergers, acquisitions, and rebranding, to assess their impact on our data products.
- Collaborate on Platform Improvements: Partner with product managers, engineers, and analysts to build scalable, automated processes that ensure trusted data delivery.
Requirements
- 4+ years working with healthcare data, with 2+ years focused on payer data (e.g., payers on claims, payment systems, formulary data).
- Deep understanding of the US insurance market, including the nuanced relationships between PBMs and payers across different types of insurance coverage (e.g., Medicare, Medicaid, Commercial, Assistance Programs).
- Proficient in SQL for querying, analyzing, and validating large data sets.
- Proven ability to identify new data sources, establish extraction best practices, and merge them into existing sets.
- Demonstrated experience in data governance, including the ability to create and enforce data standards and naming conventions across a pipeline.
- Collaborative mindset, with the ability to define data requirements across cross-functional teams.
Qualifications
- Nice to Have: Experience integrating payer data with other healthcare data types, such as HCO or claims data, is a significant advantage.
- Experience with Market Access Analytics.
- Experience in Python.
- Experience with the BI tool Sigma.
Benefits
- Medical, dental, vision, and basic life insurance.
- Flexible PTO and company paid holidays.
- Retailer programs.
- 1% charitable giving program.
Pay
$80,000 - $125,000 per year.
Schedule
Work Anywhere.