Senior Health Data Operations Analyst - Compass

Veeva Systems is hiring a Senior Health Data Operations Analyst to work on the Veeva Compass product suite, which delivers record-level prescription and medical claims data for de-identified patient analytics. The role centers on the Terminology Reference Library (TRL), the reference data behind drug information, ICD-10 diagnosis codes, procedure and lab codes, and payer and plan data. This is a full-time remote position, though the job location is listed as Boston, MA.

Veeva describes itself as a mission-driven industry cloud company serving life sciences, and says it became a public benefit corporation in 2021. It reports surpassing $3B in revenue in its last fiscal year. As a Work Anywhere company, Veeva says it supports working from home or in the office. The stated values are Do the Right Thing, Customer Success, Employee Success, and Speed.

What you will do

• Maintain and expand the Terminology Reference Library, managing core reference datasets across prescription and medical claims, including drug information, ICD-10 codes, procedure and lab codes, and payer and plan data.
• Query data, map fields, and analyze structure on potential new data sources to evaluate fit and integrate them into existing core schemas.
• Run exploratory data analysis to find discrepancies, handle missing values, deduplicate records, and check data completeness, accuracy, and timeliness.
• Investigate data anomalies in the Veeva Compass product suite and test planned and unplanned data changes for downstream customer impact.
• Build interactive dashboards to track data quality metrics, and contribute to technical documentation, validation reports, and team process improvements.
• Work with Data Scientists, Product Managers, and Developers to explain data quality issues, find root causes, and build data pipelines.

What they are looking for

• 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 skills, 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.
• Experience analyzing, visualizing, and presenting data quality findings to stakeholders using Excel, BI tools such as Tableau, Power BI, or Sigma, or interactive dashboards.
• A problem-solving mindset and willingness to dig into complex, unstructured healthcare data issues, identify root causes, and propose solutions.
• Bachelor's degree in a STEM, quantitative, or healthcare informatics field, or equivalent practical experience.

Nice to have

• Experience in Python.
• Experience with the BI tool Sigma.
• Experience in the life science industry.

Interview process

Veeva lays out the steps: submit your resume through the application process, then within 3 days you receive a link to a personality assessment run by a third party. After you complete the assessment, the team reviews your full application package and follows up by email with a decision. If you move to the interview stage, the process is a conversation with the hiring manager, a practical case exercise, and a final conversation with the group's Senior Leader. After all interviews, the manager will be in touch with a final decision.

About the listing

This job is curated by Lifelancer, a talent-hiring platform in life sciences, pharma, and IT that connects talent with opportunities in pharma, biotech, health sciences, healthtech, and IT. The listing notes it was originally posted on Himalayas.