Business Analyst jobs in South Africa

The Business Analyst – Enterprise Data plays a pivotal role in bridging business needs and technical solutions. This role is responsible for analysing, documenting, and communicating business requirements; ensuring alignment between enterprise data initiatives and organisational goals; and supporting the design and implementation of business and data‑driven solutions. The position ensures that projects and enhancements within the data ecosystem deliver measurable business value, meet agreed standards, and are ready for operational adoption. Working closely with internal stakeholders, technical teams, and project managers, the Business Analyst contributes to improving data quality, optimising processes, and enabling evidence‑based decision‑making across the group.

• NQF 6 – Diploma in Business Analysis or
• NQF 6 – Information Systems or related field.

• Bachelor’s Degree (Information Systems, Informatics, Business Administration, or related) – NQF 7
• Professional Business Analysis Certification (e.g., CBAP, PMI‑PBA, or similar)
• Driver's licence
• SQL / Python / Data Literacy

• Business Analyst – 3 years
• Data / BI Analyst – 3 years
• Project Delivery within Data / IT Environment – 3 years
• Exposure to Agile / Waterfall Methodologies – 2 years

• Familiarity with data warehousing, integration, and reporting tools.
• Understanding of both Agile and traditional project delivery methods.
• Ability to work across multiple business units and manage competing priorities.

• Engage with business stakeholders to elicit, analyse, and document requirements.
• Translate business problems into clear functional and technical specifications.
• Create user stories, use cases, and process flows.
• Validate and verify requirements to ensure completeness and alignment to business objectives.
• Identify gaps, dependencies, and impacts across systems and data domains.

• Map and optimise “as‑is” and “to‑be” business processes using VSM or equivalent methods.
• Develop data flow diagrams, entity relationship models, and conceptual data definitions.
• Work with the Data Engineering team to ensure business data needs are properly defined, traceable, and testable.
• Ensure solutions support data integrity, governance, and quality standards.

• Support project managers with scope definition, impact assessment, and change control.
• Coordinate UAT activities – prepare test scripts, manage test cycles, and validate outcomes.
• Ensure business readiness and post‑implementation support.
• Monitor and report on delivery progress, risks, and issues.

• Identify process inefficiencies and propose data‑driven improvements.
• Support implementation of automation, workflow enhancements, and standardisation initiatives.
• Participate in retrospectives and lessons‑learned sessions to improve BA practices.
• Contribute to development of reusable templates, playbooks, and documentation standards.

• Serve as liaison between business and technical teams.
• Facilitate workshops, walkthroughs, and requirement sign‑off sessions.
• Maintain transparent communication with stakeholders regarding timelines, changes, and risks.
• Provide monthly updates and contribute to Manco reports where applicable.
• Support data literacy and business engagement initiatives across brands.

• Ensure adherence to enterprise standards, data policies, and procedures.
• Document all analysis artefacts within approved repositories (e.g., Azure DevOps, SharePoint).
• Participate in data governance forums and contribute to data stewardship activities.
• Maintain audit trail of changes, requirements, and approvals.

• Analytical and Problem Solving
• Business Process Mapping
• Stakeholder Management and Facilitation
• Data Literacy and Modelling
• Communication (Written & Verbal)
• Microsoft Office, Visio, Power BI, Azure DevOps

• Collaboration and Teamwork
• Diligence and Ownership
• Adaptability and Innovation
• Judgement and Decision‑making
• Initiative and Drive
• Attention to Detail