Data Quality Analyst: Facts, Skills, and Next Paths

A Data Quality Analyst evaluates data sets for accuracy, completeness, and consistency, then works to fix issues and prevent them from recurring. Day-to-day, you run SQL queries to check for duplicates or missing values, document quality rules, and collaborate with teams to enforce data standards.

Core responsibilities include analyzing large datasets, resolving quality problems, and recommending best practices to maintain data integrity. This role sits within data governance or quality assurance teams, often supporting compliance with Medicare/Medicaid claims standards (as at Telligen) or federal agency requirements (as at Paradyme Management). You might also automate testing using Python or R, as seen in postings from CMT Services Inc. and Link Solutions.

The median salary is about $90,000, and the most-requested skills in current job postings are Data Quality (70%), SQL (60%), Compliance (40%), and Documentation (40%).