Data Governance & Quality Analyst at Absa Bank

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.

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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 implementation 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 the focus on 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 | Data Governance & Quality Analyst at Absa Bank

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

Education

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