Data Quality Analyst

What you'll do

• Define, document, and maintain data quality rules, metrics, and measurement frameworks for various data domains.
• Assess data quality across critical systems, interfaces, pipelines, and data products to ensure accuracy and consistency.
• Perform root-cause analysis to identify if issues originate from source systems, business processes, or data transformations.
• Develop data quality profiles, scorecards, dashboards, and trend analyses to monitor performance against established thresholds.
• Implement automated data quality checks and controls within ETL/ELT pipelines in collaboration with engineering teams.
• Establish remediation processes to track and resolve identified data quality issues through to completion.
• Provide regular data quality reporting and analysis to governance councils and program leadership.
• Collaborate with metadata teams to align data quality rules with approved standards and business glossary terms.

What we're looking for

• Minimum of 6 years of related experience is required.
• At least 3 years of specialized experience in data quality analysis, database management, and programming languages is required.
• Experience supporting enterprise data governance programs and translating policy into operational processes is required.
• Strong understanding of data quality management, metadata practices, and stewardship models is required.
• Experience governing high-sensitivity or regulated data with clear compliance expectations is required.
• Experience with data quality profiling, monitoring techniques, and common tooling patterns is required.
• Background in data modeling, integration patterns, and change data capture concepts is required.
• Experience with metadata/catalog tools and implementing glossary and lineage capabilities is required.