Senior Health Data Operations Analyst - Compass

The Role

What You’ll Do

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.

Requirements

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

Nice to Have

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

Interviewing with Veeva

We value your time and believe in a transparent hiring process. Here is the process you can expect.

Follow the application process and submit your resume.

Within 3 days, you will receive a link to a personality assessment administered by a third party.

Once you complete the assessment, our team will review your full application package and follow up via email with our decision.

If moving to the interview stage, the process is as follows:

1. A conversation with the hiring manager
2. A practical case exercise
3. A final conversation with our group's Senior Leader.

Once all interviews are complete, the manager will be in touch with a final decision.

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.

Employment type

Full-Time