Role Description
A Data Quality Analyst is responsible for ensuring the accuracy, consistency, and reliability of an organization's data. This role monitors data quality, identifies issues, and collaborates with data owners and IT teams to maintain clean, usable datasets for reporting, analytics, and business operations.
Key responsibilities include:
- Monitor and assess data quality across systems and databases
- Identify data inconsistencies, errors, and gaps
- Develop and implement data quality standards, rules, and best practices
- Collaborate with IT, data management, and business teams to resolve data issues
- Perform data validation, cleansing, and enrichment activities
- Generate reports on data quality metrics and trends
- Support data governance initiatives and compliance requirements
- Document data quality processes, procedures, and findings
- Recommend process improvements to prevent data quality issues
Qualifications
Typical qualifications for a Data Quality Analyst include:
- Bachelor's degree in Information Systems, Computer Science, Data Science, or related field
- 25 years of experience in data analysis, data management, or quality assurance
- Strong understanding of data governance and data quality concepts
- Proficiency in SQL, Excel, and data analysis tools
- Familiarity with data management platforms (e.g., Informatica, Talend, Collibra) is a plus
- Analytical thinking and problem-solving skills
- Good communication and collaboration abilities
Key Skills
- Data quality monitoring and assessment
- Data validation, cleansing, and enrichment
- SQL and data analysis tools
- Data governance and compliance knowledge
- Reporting and metrics tracking
- Process improvement and documentation
- Collaboration with IT and business teams
Common Industries Hiring This Role
- Technology and SaaS Companies
- Finance and Banking
- Healthcare and Life Sciences
- E-commerce and Retail
- Telecommunications
- Consulting and Professional Services
