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.
Minimum Education (Formal Qualification required)
NQF 6 - Diploma in Business Analysis or
NQF 6 - Infomation Sytems or related field.
Ideal
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
Experience
Business Analyt - 3 Years
Data / BI Analyst - 3 Years
Project Delivery within Data / IT Environment - 3 Years
Exposure to Agile / Waterfall Methodologies - 2 Years
Special Requirements:
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
:
Business Requirements & Analysis
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.
Data & Process Modeliing
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.
Project Delivery Support
Support project managers with scope definition, impact assessment, and change control.
Co-ordinate 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.
Continuous Improvement & Innovation
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.
Stakeholder & Relationship Mnagement
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.
Governance & Compliance
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.
Skills
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
Behavioral Attribute
Collaboration and Teamwork
Diligence and Ownership
Adaptability and Innovation
Judgement and Decision-making
Initiative and Drive
* Attention to Detail
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