EIM Data Analyst Discovery & Profiling

SARB Procure to Pay Professional Services Version 4 21 November 2019 Copyright 2016 SARB

Financial Services Department - Procurement Section

370 Helen Joseph Street, Pretoria

Request for Quote (RFQ)

Description of services Required: For the provision of various roles for EIM:

• EIM Senior Data Quality Specialist
• Senior Reference and Master Data Management Specialists
• EIM Data Analyst Discovery & Profiling
• EIM Data Lead

Date of issue 21 May 2026

Closing date: 29 May :00 p.m.

Issued by: Tshepiso Morema

Copyright Notice: This document contains information that is proprietary and confidential to the South African Reserve Bank. Any dissemination, distribution, reproduction, or disclosure in any form of the content of this document is forbidden without prior written permission of the SARB.

The South African Reserve Bank's (SARB) Financial Services Department (FSD), in partnership with the Business Systems and Technology Department (BSTD), have embarked on a multi-year programme made up of initiatives to modernise its back-office capabilities. The Human Resources Department (HRD) was the first implementation on the ERP Roadmap Programme which went live with Phase 2 in 2025. The next initiative within this Programme is the Financial Services Department with the implementation of a unified financial planning and reporting solution, which will consolidate the needs of two key divisions within the FSD: Financial Planning and Analysis and Financial Reporting.

The main purpose of this position is to provide dedicated data quality services on the ERP Roadmap (EPM Cloud Solution Project) for 18 months. This resource will be:

• Identifying Data Management solutions to solve business problems, bringing business and information management together, translating business requirements into data management solution requirements and conveying the business requirements into the data and information management practices.
• Focusing on business optimisation and investigating more efficient ways of working and organising resources to achieve business goals.
• Bringing together different elements of the business by performing a consolidation and innovation role in order to create new or different alternatives and solutions.

The scope will include but will not be limited to:

• Define organisational data quality strategy and framework within the SARB against best practices.
• Capacitate, build data quality skills and drive the data quality practice within the SARB.
• Lead and action data quality profiling, cleansing and remediation focusing on data quality factors (accuracy, completeness, consistency, reliability, up-to-dateness).
• Assess the level to which data is fit for purpose and develop remediations for shortcomings.
• Deliver the Data Quality programme and initiatives across the SARB organisation and subsidiaries where mandated.
• Assess data quality maturity levels against best practices.
• Develop standards, guidelines, processes, procedures for the quality of critical data elements within the SARB.
• Develop and promote data quality awareness across the organisation.
• Define data quality measurement and metrics for critical data elements to support reliable decision making.
• Monitor, measure and report data quality levels to create awareness of data reliability.
• Guide and train data stewards in all aspects of data quality (definition of data quality business rules, service levels, profiling, analysis and assessment).
• Oversight role in remediation of data quality issues.
• Develop and manage stakeholder relations to promote data quality awareness and reliable decision making.

The service provider is required to submit a maximum of 3 CVs of suitably qualified resources.

• Data Quality - Senior Data Quality Specialist: Start 01 Jun 2026, End 30 November 2027, Full-time, Market related, x 3,240 hours.
• Information Management - Senior Reference and Master Data Management Specialists: Start 01 Jun 2026, End 30 November 2027, Full-time, Market related, x 3,240 hours.
• Data Analyst Discovery & Profiling - EIM Data Analyst Discovery & Profiling: Start 01 June 2026, End 30 November 2027, Full-time, Market related, x 3240 hours.
• Data Lead EIM Data Lead: Start 01 Jun 2026, End 30 Nov 2027, Full-time, 3240 hours, Market related.

Disclaimer - Rate per hour is inclusive of the following as set out in Part III Schedule D clause 4&5: a) Resource rate;

b) Supplier mark-up;

c) Leave (Annual and Sick leave in accordance to Basic Condition of Employment Section 198 of the Labour Relations Act 66 of 1995) and Employee Benefits (i.e. Medical/pension fund etc.).

To be considered for this position (Data Quality Specialist), candidates must have:

• B degree or equivalent (e.g., BCom Informatics, BSc Information Systems, BSc Informatics, BTech); and
• Data Management Certification (e.g. DAMA CDMP) will be an added advantage
• Minimum eight years' experience in business analysis; and
• Solid exposure to Agile methodology.
• Advanced knowledge of Information Management Business Analysis (minimum of 5 years' experience in Information Management).

• Knowledge of the Information Lifecycle Management (ILM) (essential)
• Basic software applications (MS Word, MS Excel, MS PowerPoint, Internet and e-mail) (essential)
• Skilled in using Data Quality tools (required)
• Analytical thinking
• Understand and analyse business processes
• Communication skills (verbal and written)
• Facilitation skills
• Quality orientation
• Negotiation skills
• Interpersonal relationship building and maintaining skills
• Facilitation of workshops skills
• Customer focus; strong team player; motivated self-starter; enterprise driven

• Develop Business Cases
• Business Analysis Work Plan
• Business Requirements Specification Document
• Functional Requirements Specification Document
• Information Matrix
• User Stories
• Change Request Document (where applicable)
• Participate in Quality Assurance
• Participate in User Acceptance Testing
• Business Analysis Measure and Feedback Report
• Review Training documentation

The scope will include but will not be limited to:

• Discover data assets and establish data profiles to determine sensitivity, quality, context of use and legislated aspects.
• Apply data analysis standards, guidelines, processes for data analysis within scope.
• Establish relationships between data elements and their business impact.
• Generate regular reports, deliver actionable insights, and provide status updates to support data domains management.
• Provide inputs for data transitions (legislative prescripts, sensitivity classifications, access rules, etc.).

• A Bachelor's degree in Computer Science or Information Management or equivalent;
• A minimum of five to eight years' experience in a data management environment

Additional advantages and performance measures are outlined within the original document content.

• Training and knowledge transfer documents to be submitted to SARB in a traceable repository.
• All consultants will report directly to EIM Manager.
• Post Implementation Support as applicable.

• Standard TES Agreement terms apply.
• TES Panel Engagement model with defined response times and interview procedures.
• Temporary Employment Service provisions regarding tools, premises, and vetting requirements.
• Pricing to be transparent, market related, with detailed cost breakdowns and benefits.

I, , (ID _) hereby declare the following:

1. I am contracted by (Contracting House) and placed at the SARB as on a full-time basis.

2. As per the agreement between SARB and the Contracting House, I am allocated to the role at SARB in my full capacity.

3. I am not considering SARB (via my Contracting House) as one of multiple clients.

4. I confirm that I am not contracted by any other employer or Contracting House.

5. I confirm that this declaration reflects true and accurate information that I consider binding on my conscience.

6. I understand that breach of this undertaking may result in legal action.

7. I acknowledge that the SARB has reserved all its rights.

Signed at _, on this day of 2024.

_

Signature