Data Quality Analyst will be responsible for examining complex data to optimize the efficiency and quality of the data being collected, resolving data quality problems as well as working with various enterprise level and local data management governance, data architecture, data engineering/development, and data quality teams.
Will contribute to efforts to capture and manage data dictionaries/catalogue, data lineage, and all forms of business, technical and operational metadata within the Metadata Repository.
Additionally, role will support data use governance activities, adherence to Enterprise Data Management policies, and data quality issue tracking and resolution activities.
Analyze, query and manipulate data according to defined business rules and procedures.
Identify, compare, and resolve data quality problems.
Determine business impact level for data quality issues.
Ensure adherence to data quality standards.
Determine root cause for data quality errors and make recommendations for long-term solutions.
Evaluate large dataset for quality and accuracy.
Identify and remedy defects within the production process.
Recommend, implement and monitor preventative and corrective actions to ensure that quality assurance standards are achieved.
Monitor the quality of data.
Evaluate large dataset for quality and accuracy.
Identify, compare, and resolve data quality problems.