Senior Data Quality Analyst

Role Overview

Join Komodo Health as a Senior Data Quality Analyst to ensure the quality and accuracy of healthcare data. You’ll own data output validation, support investigations into data quality issues, and prepare materials for the company’s weekly data publication—in a role that is not traditional QA, but highly analytical and detail-oriented.

Key Missions

• Validate data outputs by designing and executing pre-/post-publication comparisons.
• Investigate data quality problems, document findings, and collaborate with engineering to identify root causes.
• Prepare weekly publication reviews, compiling:
  • an execution summary,
  • a test coverage audit,
  • a disposition list of issues.

What You’ll Be Good At

• Analytical rigor: detect missing data, unexpected trends, and subtle anomalies beyond basic error checking.
• Intellectual curiosity: dig for root cause and don’t take outputs at face value.
• Customer-aware quality: define quality by whether customers can answer real healthcare questions, not only whether tests pass.
• Clear communication: produce actionable reports for engineers and accessible summaries for non-technical partners.
• Operational reliability: deliver complete, on-time release packages for weekly publication meetings.

Requirements

• 6+ years in data quality, data analysis, or analytics engineering (preferably healthcare/life sciences or another complex, multi-source domain).
• Strong SQL for large-scale analysis (joins, window functions, aggregations, tracing data lineage). Snowflake preferred.
• Healthcare data experience (required), including familiarity with claims data (medical, pharmacy, enrollment) and common quality patterns/failure modes.
• Experience with structured QA processes, including designing/executing pre/post release testing (defining attributes, tolerances, escalation criteria).

Nice-to-Have

• Python (preferred) for analysis, validation, and light automation; able to read/adapt existing scripts.
• Ability to leverage AI tools (e.g., Gemini, Claude, Cursor) to improve productivity, streamline workflows, content, and visualization creation.
• Proven ability to work through ambiguous issues from signal to root cause.