Senior Health Data Analyst — Remote Data Quality & Insights

Veeva Systems, Inc.; San Francisco (CA); Hybrid; USD 80,000 - 125,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Flexible PTO

Stock bonus potential

1% charitable giving program

Job summary

Veeva Systems is seeking a Senior Health Data Analyst for the Compass Patient Team to own health data investigations and drive improvements in data quality and analytics within our Compass Patient data product.

You will collaborate with Product, Customer Success, Engineers, and QA to enhance data, implement scalable features, and support commercial use cases like patient journey and market landscape.

Qualifications

• 4+ years of experience analyzing prescription data and medical claims data
• Advanced SQL skills; able to query and manipulate relational databases
• Knowledge of Industry Standard billing codes such as ICD, CPT/HCPCS, NDC
• Experience documenting and presenting analytics results with stakeholders
• Experience defining KPIs and building dashboards to measure success

Responsibilities

• Own the investigation and resolution of data observations and data questions driven by internal and external stakeholders
• Understand our product pipeline and impact to data to identify improvements
• Build standard templates and practices to streamline data quality in your target domains
• Own key analytics projects in the data and feature roadmaps
• Design new data analytics and data quality features & capabilities, including match, merge, dedupe logic, value enrichment and reference mappings
• Establish quality metrics and build dashboards to drive continuous improvement of our data products

Skills

Advanced SQL

Prescription data

Medical claims data

Stakeholder communication

Tools

SQL databases

Sigma

Job description

Veeva Systems is seeking a Senior Health Data Analyst for the Compass Patient Team to own health data investigations and drive improvements in data quality and analytics within our Compass Patient data product.

You will collaborate with Product, Customer Success, Engineers, and QA to enhance data, implement scalable features, and support commercial use cases like patient journey and market landscape.