Technical Responsibilities:

Data Quality Assessment: Conduct regular data quality assessments to identify and address data anomalies, inconsistencies, and inaccuracies.
Data Profiling: Utilize data profiling techniques to analyze data attributes, identify data quality issues, and assess data completeness.
Data Cleansing: Develop and implement data cleansing processes to correct errors, standardize data formats, and improve data quality.
Data Validation: Create and implement data validation rules to ensure data integrity and consistency.
Metadata Management: Manage metadata repositories and ensure accurate and up-to-date metadata is maintained.
Tool Utilization: Proficiently use data governance and data quality tools like IDMC or Collibra to manage data lineage, impact analysis, and data quality metrics.
Data Governance Framework: Contribute to the development and maintenance of a comprehensive data governance framework, including policies, standards, and procedures.

Functional Responsibilities:

Stakeholder Engagement: Collaborate with business users, data owners, and IT teams to understand data requirements and ensure data quality meets business needs.
Data Stewardship: Support data stewards in their role of ensuring data quality and compliance.
Data Quality Metrics: Develop and track key data quality metrics to measure the effectiveness of data governance initiatives.
Issue Resolution: Investigate and resolve data quality issues in a timely manner.
Continuous Improvement: Identify opportunities for process improvement and implement best practices to enhance data quality.
Change Management: Manage changes to data definitions, data sources, and data processes to minimize disruptions.

Data Governance & Data Quality Analyst