Data Governance & Quality Analyst - Absa Bank

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With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

My Career Development Portal: Wherever you are in your career, we are here for you. Design your future. Discover leading-edge guidance, tools and support to unlock your potential. You are Absa. You are a possibility.

Job Summary

  • Provide a unique business perspective on Data Governance, Data Quality, Data Management to transform and improve our data estate
  • Assisting in identifying and the implementing of Master Data Management opportunities to eliminate existing data limitations
  • Define indicators of performance and quality metrics and ensure compliance with data-related policies, standards, roles and responsibilities, and adoption requirements
  • Roll out an organisation-wide data governance framework, with a focus on the improvement of data quality through modifications to behaviours, policies and standards, principles, governance metrics, processes, related tools and data architecture
  • Drive the RDARR framework and ensure compliance with BCBS 239 (Principles for Effective Risk Data Aggregation and Risk Reporting)



  • Consistently work in identifying Data Quality and Limitation gaps, recommending solution, and driving remediation through the responsible Functional Data Owners and Stewards
  • Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements

Job Description

Business Direction

Time split : 70%

  • Oversee the integration of new technologies, initiatives and products into the accepted data standards and structures, developing standards of data capturing and handling operations
  • Managing Databuck – including building new rules, defining lineages and driving the remediation of highlighted issues.
  • To source and determine the bank’s golden sources of data and to support the bank’s business intelligence efforts
  • Ensure data meets key data quality metrics including Accuracy, Completeness, Consistency, Uniqueness, Timeliness, and Validity
  • Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities

Management Information

Time split: 25%

  • Provide leadership to resolve data quality issues escalated from Business and Functional areas data stewards
  • Produce periodic reports which will cover all the aspects of the data life cycle including acquisition, transformation, and usage
  • Tracking data lineage throughout the organization to make sure that the data is reliable, relevant, and updated.



Self Development

Time Split :5%

  • Agree performance development objectives with the team leader.

Pursue self-development to increase personal effectiveness, acknowledging strengths and areas for development


Higher Diplomas: Physical, Mathematical, Computer and Life Sciences (Required)

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