EIM Data Quality Specialist

Losika Consulting; Pretoria; On-site; ZAR 700,000 - 850,000; Full time

Job summary

Losika Consulting is seeking a Data Quality Specialist based in Pretoria to provide dedicated data quality services on the ERP Roadmap. The role focuses on defining a data quality strategy, leading data profiling and remediation, and building data quality skills within the South African Reserve Bank.

The ideal candidate will have at least 8 years of business analysis experience, strong communication skills, and a Bachelor’s degree in a relevant field.

Qualifications

• Minimum eight years of experience in business analysis required.
• Solid exposure to Agile methodologies.
• Advanced knowledge of Information Management Business Analysis (minimum 5 years experience).

Responsibilities

• Define organisational data quality strategy and framework.
• Lead and action data quality profiling, cleansing, and remediation.
• Monitor, measure and report data quality levels.

Skills

Analytical thinking

Skilled in using Data Quality tools

Communication skills (verbal and written)

Facilitation skills

Quality orientation

Education

Basic degree or equivalent (e.g., BCom Informatics, BSc Information Systems)

Data Management Certification (e.g. DAMA CDMP)

Tools

Microsoft Word

Microsoft Excel

Microsoft PowerPoint

Job description

Background

The South African Reserve Bank’s (SARB) Financial Services Department (FSD), in partnership with the Business Systems and Technology Department (BSTD), has 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 Enterprise Resource Planning (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.

Objective of this Scope of Work

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

Scope of Services Definition

The scope will include but will not be limited to:

• To define organisational data quality strategy and framework within the SARB against best practices
• To capacitate, build data quality skills and drive the data quality practice within the SARB
• To lead and action data quality profiling, cleansing and remediation focusing on the condition of data based on factors such as accuracy, completeness, consistency, reliability and whether it's up to date
• To assess the level to which data is fit for purpose for its intended use then develop strategies and remediations to address any shortcomings.
• To deliver the Data Quality programme and its various initiatives across the SARB organisation and subsidiaries where mandated.
• To conduct an assessment on data quality maturity levels within the SARB against best practices.
• To develop standards, guidelines, processes, procedures for the quality of critical data elements within the South African Reserve Bank.
• To develop and promote data quality awareness across the organisation
• To define data quality measurement and metrics for the critical data elements to support reliable decision making
• To monitor, measure and report the data quality levels to create necessary awareness and understanding of reliability of data
• To enable the improvement of the data quality levels by means of guiding and training data stewards in all aspects of data quality (e.g. definition of data quality business rules, data quality service levels, profiling, analysis and assessment of data quality)
• To play an oversight role in the remediation of data quality issues
• To develop and manage stakeholder relations effectively to promote data quality awareness across the organisation and support reliable decision making

To be considered for this position (Data Quality Specialist)

• Basic 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
• Advanced knowledge of Information Management Business Analysis (minimum of 5 years’ experience in Information Management).

Competences

• Knowledge of the Information Lifecycle Management (ILM) (essential)
• Basic software applications (e.g., Microsoft (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
• To build customer loyalty
• Strong team player
• Motivated self-starter
• Enterprising

Key deliverables

• 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
• Business Analysis Measure and Feedback Report;
• Review Training documentation;