Data Quality Analyst Mid-Level/Senior
Core
Analyze, cleanse, validate, and remediate large datasets to ensure accuracy, completeness, and consistency across enterprise systems.
Role type
Mid-level to Senior Data Quality Analyst
Builds
Data quality rules, validation criteria, controls, and monitoring metrics
Domain
Enterprise IT systems, ERP, and data integration
Deliverable
dashboards & analysis
Required skills
SQL, data cleansing, data validation, large dataset analysis, ERP system navigation, data documentation, root cause analysis, reporting
Preferred skills
ETL/data integration tools, Python, data governance, master data management, workflow automation, data migration
Technologies
ETL, ERP, Python, SQL
Responsibilities
Analyze large datasets to identify inconsistencies, duplicates, missing values, and anomalies. Cleanse, standardize, validate, and remediate data using SQL. Review data in ERP systems and compare information across systems to identify discrepancies. Develop data quality rules, validation criteria, and controls. Investigate root causes of data quality problems. Document data issues, validation rules, and remediation results. Create reports and metrics to monitor data accuracy and reliability. Collaborate with business users and technical teams on data integration and migration issues. Recommend automation opportunities for data cleansing and validation.
Seniority
Mid-level to Senior, hands-on IC
