Data Modeller - ESD at South African Reserve Bank

Brief description

• The purpose of this position is to enhance data modelling, business process management and data development maturity within the Economic Statistics Department (ESD) to support the production of reliable economic statistics for effective decision-making.

Detailed description

The successful candidate will be responsible for the following key performance areas:

• Continuously assess data modelling and data development maturity levels in ESD against best practices. 
• Implement and contribute to the development of standards, guidelines, processes and procedures for data modelling and data governance within the department and the South African Reserve Bank (SARB) Group. 
• Specify and translate business information requirements into data definitions within ESD. 
• Document and review business processes and procedures and analyse business and related data management needs for ESD. 
• Independently facilitate workshops and consult with stakeholders regularly to understand and address data-related issues, as required. 
• Conduct data modelling activities during project implementations and for operational needs, as required. 
• Assist in compiling project-based reports to monitor and measure progress in data modelling and data governance development, ensuring accurate information is captured according to business requirements. 
• Address and resolve data modelling and data governance development issues within ESD. 
• Develop and maintain stakeholder relationships to promote awareness of data modelling across ESD and support the production of quality statistics for decision-making. 

Qualifications
Job requirements

To be considered for this position, candidates must be in possession of:

• at least an Honours degree in either Computer Science, Management Information Systems or Computer Engineering, or an equivalent qualification in a related field;
• a minimum of five to eight years’ experience in data management, statistics or economics; and
• relevant data modelling (e.g. Certified Data Management Professional Associate) and business analysis certification will be advantages. 

Additional requirements include:                      

knowledge and skills in:

• industry, business and organisational awareness; 
• quality assurance; 
• enterprise information management (EIM) strategy; 
• EIM planning; 
• data architecture; 
• analysis and problem-solving; 
• planning and organising; 
• service and stakeholder focus; 
• conceptual thinking; 
• innovation and creativity; 
• drive for results; 
• excellent interpersonal and communication (verbal and written) skills; and 
• proficiency in business continuity management (BCM) software and Microsoft (MS) Office products such as MS Word, Excel and PowerPoint. 

Deadline:6th February,2026