Senior Health Data Analyst

Veeva Systems

Confirmed live today Trusted
Remote

Quick summary

Work type
Remote
Location
Boston, MAPleasanton, CAColumbus, OHKansas City, MONew York, NYRaleigh, NCToronto, Ontario, Canada
Salary
$80,000–$125,000 / yr
Posted
97 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k
This role $102k
$65k $218k
below market most similar roles pay here above market

This role pays less than 94% of similar roles. Most pay $130,187–$195,500 — the blue band above. At the midpoint, this role pays about $102k versus about $163k 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 72 open roles on FindRole.

Listed pay typically runs $80,000–$175,000 across 69 roles with salary data.

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View all roles at Veeva Systems

At a glance

TL;DR · Senior Health Data Analyst

The Senior Health Data Analyst - Compass joins the Analytics team to support the Compass Patient data product. This role focuses on managing health data investigations, improving data quality, and launching new features for de-identified patient analytics used in commercial use cases like patient journeys and market landscapes. You will own the resolution of data observations, build standard templates for quality metrics, and design capabilities for matching, merging, and deduplicating billions of records. The position requires advanced SQL skills to manipulate relational databases, experience with prescription and medical claims data, and knowledge of industry standard billing codes like ICD, CPT/HCPCS, and NDC. Candidates should be proficient in defining KPIs and building dashboards, with preferred experience in Python and the Sigma BI tool.

What you'll do

  • Investigate and resolve data observations and questions from internal and external stakeholders.
  • Identify product improvements by analyzing the impact of the product pipeline on data.
  • Build standard templates and practices to streamline data quality across target domains.
  • Own and execute key analytics projects within the data and feature roadmaps.
  • Design new data analytics and data quality features including match, merge, and dedupe logic.
  • Establish quality metrics and build dashboards to drive continuous improvement of data products.
  • Launch new features to enhance data at scale across billions of records.

What we're looking for

  • Have 4+ years of experience analyzing prescription data and medical claims data.
  • Possess advanced SQL skills to query and manipulate relational databases.
  • Have knowledge of industry standard billing codes such as ICD, CPT/HCPCS, and NDC.
  • Have experience documenting and presenting analytics results with stakeholders.
  • Have experience defining KPIs and building dashboards to measure success.
  • Experience in Python (preferred).
  • Experience with the BI tool Sigma (preferred).
  • Experience in commercial life science use cases (preferred).

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