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 $2B 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. Were 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.

What Youll 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 of 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

Nice to Have

• Experience integrating payer data with other healthcare data types, such as HCO or claims data
• Experience with Market Access Analytics
• Experience with 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, including variable bonus and/or stock bonus.

LI-Remote

Veevas 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 address].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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