Senior Data Quality Analyst (Healthcare)

TL;DR

Senior Data Quality Analyst (Healthcare): Ensuring the analytical soundness of data outputs for hirify.global's Healthcare Map and AI-driven products with an accent on pre/post-release comparisons and anomaly identification. Focus on investigating issues, documenting findings, and partnering with engineering to drive resolution and verify fixes.

Location: Hybrid in San Francisco, New York City, or Chicago, or remote within the US.

Salary: $147,000 - $199,000 USD (San Francisco Bay Area and New York City), $128,000 - $173,000 USD (All Other US Locations)

Company

hirify.global is dedicated to reducing the global burden of disease through smarter use of healthcare data.

What you will do

• Run pre/post-release comparisons across key attributes to ensure changes meet data quality standards.
• Investigate issues from customer complaints and monitoring, document findings, and partner with engineering on root cause and resolution.
• Assemble the execution summary, test coverage audit, and issue disposition list to support DPQ’s Monday release recommendation.
• Design and run pre/post-release comparisons across key attributes (patient counts, claim volumes, fill rates, deduplication, payer attribution, provider coverage).
• Query Snowflake to trace anomalies to source, validate against expectations, and rule out alternatives.

Requirements

• 4+ years of experience in data quality, data analysis, or analytics engineering — preferably in healthcare, life sciences, or another domain with complex, multi-source data.
• Strong SQL skills for large-scale analysis—joins, window functions, aggregations, and tracing data lineage. Snowflake preferred.
• Proven ability to work through ambiguous issues from signal to root cause—ruling out as well as ruling in.
• Experience designing or executing pre/post release testing, including defining attributes, tolerances, and escalation criteria.
• Familiarity with claims data (medical, pharmacy, enrollment) and common quality patterns and failure modes.
• Ability to leverage AI tools (Gemini, Claude, Cursor, etc.) to enhance personal productivity, streamline workflows, content and visualization creation.

Nice to have

• Comfortable using Python for analysis, validation, and light automation—able to read and adapt existing scripts.

Culture & Benefits

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