Senior Health Data Operations Analyst

Veeva Systems

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
New York City, NY
Salary
$80,000–$125,000 / yr
Posted
78 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k
This role $102k
$64k most similar roles pay here $228k

This role pays less than 95% of similar roles. Most pay $140,000–$200,100 — the shaded band above. At the midpoint, this role pays about $102k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About Veeva Systems

Veeva Systems is a cloud software company serving the global life sciences industry, providing CRM, clinical, regulatory, quality, and data applications used by pharmaceutical and biotech companies.

Veeva Systems currently has 57 open roles on FindRole.

Listed pay typically runs $80,000–$175,000 across 57 roles with salary data.

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View all roles at Veeva Systems

At a glance

TL;DR · Senior Health Data Operations Analyst

The Senior Health Data Operations Analyst - Compass joins the Analytics team to manage and enhance data quality within the Veeva Compass product suite. This role focuses on the Terminology Reference Library, where you will maintain core reference datasets including drug information, ICD-10 diagnosis codes, procedure and lab codes, and payer or plan data. You will perform deep-dive querying of prescription and medical claims to evaluate new data sources, execute cleansing workflows, and develop interactive dashboards to track quality metrics. The role requires advanced SQL proficiency, experience with healthcare code sets like NDC and CPT/HCPCS, and skills in Excel or BI tools such as Tableau, Power BI, or Sigma. You will solve complex problems regarding record-level medical claims data to ensure accurate, scalable integration for longitudinal patient analytics and commercial use cases.

What you'll do

  • Manage and expand the Terminology Reference Library (TRL) for prescription and medical claims data.
  • Query large-scale datasets to evaluate and integrate new inbound data sources into core schemas.
  • Perform exploratory data analysis to identify discrepancies, handle missing values, and execute deduplication.
  • Investigate data anomalies within the product suite to assess the impact of planned and unplanned changes.
  • Develop interactive dashboards to track key quality metrics and provide technical documentation.
  • Analyze and visualize data quality findings for stakeholders using SQL, Excel, or BI tools.

What we're 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 proficiency for querying, manipulating, and aggregating large-scale relational databases.
  • Deep working knowledge of healthcare code sets including NDC, ICD-10, CPT/HCPCS, LOINC, and payer/plan reference data.
  • Proven track record in data storytelling using Excel, BI tools (Tableau, Power BI, Sigma), or interactive dashboards.
  • Bachelor’s degree in a STEM, quantitative, or healthcare informatics field, or equivalent practical experience.
  • Experience in Python (preferred).
  • Experience with the BI tool Sigma (preferred) and in the life science industry (preferred).

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