Senior Data Quality Analyst (Healthcare)

TL;DR

Senior Data Quality Analyst (Healthcare/SQL): Ensuring the analytical soundness and accuracy of the Healthcare Map data outputs with an accent on pre/post-release validation and root cause analysis of data anomalies. Focus on validating complex healthcare claims data, identifying subtle data patterns, and coordinating with engineering to resolve systemic quality issues.

Location: Must be based in the US (Open to remote in any US location or hybrid in New York City or San Francisco)

Salary: $133,000 - $179,000 USD

Company

hirify.global is a healthcare intelligence company focused on reducing the global burden of disease through its comprehensive Healthcare Map platform.

What you will do

• Conduct pre/post-release comparisons of key attributes to ensure data outputs meet quality standards.
• Investigate customer-reported data issues and identify root causes using Snowflake.
• Prepare weekly publication review packages, including execution summaries and test coverage audits.
• Document quality trails and recommend dispositions for identified data anomalies.
• Partner with Data Engineering and Architects to verify and drive technical fixes.

Requirements

• 6+ years of experience in data quality, data analysis, or analytics engineering.
• Required: Familiarity with healthcare claims data (medical, pharmacy, enrollment).
• Strong SQL proficiency for large-scale analysis (Snowflake preferred).
• Ability to leverage AI tools (Gemini, Claude, Cursor) to enhance productivity.
• Must be based in the United States.

Nice to have

• Python proficiency for analysis, validation, and light automation.

Culture & Benefits

• Comprehensive health, dental, and vision insurance.
• 401(k) with company match.
• Flexible time off and holidays.
• Disability and life insurance.
• Hybrid work model with hubs in SF, NYC, and Chicago.