Senior Health Data Analyst - Payer

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role As a Senior Health Data Analyst on the Veeva Compass Product Team, you will play a key role in supporting the core data structures and processes that drive the development of Payer data. You will contribute to data collection, normalization, and analysis to help build Payer reference data. You will be responsible for driving data quality, consistency, and governance for the payer data domain, a foundational reference data set. As a part of our Compass Product Team, you will work alongside Product Managers, Engineering, QA, Terminologists, and Data Analysts to deliver high quality Payer data within our Compass suite of products. This role is well-suited for someone with a deep understanding of the US insurance landscape, who is also passionate about solving complex data problems. You have a high attention to detail, and a focus on delivering high quality work. In this role, you will be the bridge between the nuances of payer data and actionable product insights. #LI-RemoteUS #LI-MidSenior Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected]. What You’ll Do 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 theability 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 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 Perks & Benefits Medical, dental, vision, and basic life insurance Flexible PTO and company paid holidays Retirement programs 1% charitable giving program Compensation Base pay: $80,000 - $125,000 The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.

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      "text": "Requirements",
      "content": "\n<li><strong>4+ years </strong>working with <strong>healthcare data</strong>, with <strong>2+ years </strong>focused<strong> on payer data</strong> (e.g., payers on claims, payment systems, formulary data)</li>\n<li><strong>Deep understanding of the US insurance market</strong>, including the nuanced relationships between PBMs and payers across different types of insurance coverage (e.g., Medicare, Medicaid, Commercial, Assistance Programs)</li>\n<li><strong>Proficient in SQL</strong> for querying, analyzing, and validating large data sets</li>\n<li><strong>Proven ability to identify new data sources</strong>, establish extraction best practices, and merge them into existing sets</li>\n<li><strong>Demonstrated experience in data governance, </strong>including theability to create and enforce data standards and naming conventions across a pipeline</li>\n<li><strong>Collaborative mindset, </strong>with the ability to define data requirements across cross-functional teams</li>\n"
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