Senior Health Data Analyst – Payer

🕒 February 18

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $80k - $125k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Veeva Systems

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Veeva Systems is a cloud-computing company focused on the global life sciences industry. It provides software, data, and consulting services to streamline research and development, quality management, regulatory operations, and commercial processes. Veeva's solutions encompass clinical trials, regulatory submissions, drug safety management, and commercial execution to support life sciences enterprises in their mission to improve and extend life.

📋 Description

• 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

🏖️ Benefits

• Medical, dental, vision, and basic life insurance • Flexible PTO and company paid holidays • Retirement programs • 1% charitable giving program