Senior Health Data Analyst - Compass

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.

As a Senior Health Data Analyst, you will focus on analyzing health data within the Veeva Compass product suite. Veeva Compass delivers record-level prescription and medical claims data to power longitudinal, de-identified patient analytics for commercial use cases—including patient journey, market landscape, and provider engagement.

You will be responsible for driving data quality, consistency, and standardization within the Terminology Reference Library (TRL) by managing reference data for key attributes found across prescription and medical claims—including drug information, ICD-10 diagnosis codes, procedure and lab codes, as well as payer and plan data. In this role, you will query prescription and medical claims datasets to support the evaluation and integration of new inbound data sources into core schemas.

Additionally, you will define and track key quality metrics via interactive dashboards, contributing to technical documentation and validation reports to ensure our reference data remains accurate, scalable, and seamlessly integrated across all Veeva products.

• Drive TRL Governance:
  Maintain and expand the Terminology Reference Library (TRL), managing core reference datasets across prescription and medical claims (including drug information, ICD-10 codes, procedure/lab codes, and payer/plan data).
• Evaluate & Integrate New Data:
  Conduct deep-dive data querying, field mapping, and structural analysis on potential new data sources to evaluate fit and integrate them into existing core schemas.
• Execute Quality & Cleansing Workflows:
  Perform exploratory data analysis to identify discrepancies, handle missing values, execute deduplication, and ensure data completeness, accuracy, and timeliness.
• Continuous Product Improvement:
  Investigate data anomalies within the Veeva Compass product suite, testing both planned and unplanned data changes to assess downstream customer impact.
• Build Metrics & Documentation:
  Develop interactive dashboards to track key data quality metrics, contributing to technical documentation, validation reports, and team process improvements.
• Cross-Functional Collaboration:
  
  Partner closely with Data Scientists, Product Managers, and Developers to articulate data quality nuances, uncover root causes, and build robust data pipelines.

• 4+ years of experience analyzing record-level prescription and medical claims datasets.
• 4+ years of experience in health data quality analysis, data profiling, and data governance principles.
• Advanced SQL proficiency, with extensive experience querying, manipulating, and aggregating large-scale relational databases.
• Deep working knowledge of healthcare code sets and industry standards, including NDC, ICD-10, CPT/HCPCS, LOINC, and payer/plan reference data.
• Proven track record in data storytelling:
  Experience analyzing, visualizing, and demonstrating data quality findings to stakeholders using Excel, BI tools (e.g., Tableau, Power BI, Sigma), or interactive dashboards.
• Strong problem-solving mindset:
  Eagerness to dive deep into complex, unstructured healthcare data issues, identify root causes, and propose innovative solutions.
• Bachelor’s degree in a STEM, quantitative, or healthcare informatics field, or equivalent practical experience

• Experience in Python
• Experie…