Mid-Level Business Analyst (AI Product Delivery) at Badger Holdings (Pty) Ltd

What a Typical Day Looks Like

• Map real business processes and design improved, AI-enabled workflows
• Own requirements end-to-end, from discovery through to delivery and acceptance
• Write Product Requirement Documents that specify inputs, outputs, acceptable behaviour ranges, and the human's role in the loop, not just features
• Translate executive vision into structured, build-ready specifications
• Use data to validate assumptions and challenge what you are told
• Define edge cases, failure modes, and escalation paths as first-class requirements, not afterthoughts
• Run structured discovery sessions and facilitate workshops to resolve conflicting stakeholder priorities

This is not a documentation role. It is a thinking role.

About You

You are comfortable operating without a script. You take a vague brief, structure it, and produce something engineers can build from. You actually prefer working this way.

You will need to

• Have 3+ years of experience as a Business or Systems Analyst, owning delivery from discovery to implementation
• Build structured process maps (BPMN, UML, or similar) without guidance
• Have worked in Agile environments: sprint participation, stand-ups, backlog refinement, and retrospectives
• Write user stories, functional specs, or PRDs you would be prepared to defend at interview
• Query and interpret data (SQL, Excel, or BI tools) to validate requirements and challenge assumptions
• Prioritise work using structured frameworks (MoSCoW or equivalent) and maintain traceability across the requirement lifecycle
• Run workshops, challenge stakeholders, and navigate conflicting priorities within a department

You will stand out if you

• Have written PRDs or functional specifications for products where the output was non-deterministic or required human review: customer-facing automation, recommendation features, or decision-support tools all count
• Understand how to design for uncertainty, including specifying what happens when the AI gets it wrong, not only when it gets it right
• Have experience in regulated environments: insurance, finance, or healthcare