Business Analyst

Job Crystal · Johannesburg, GP

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Job Intro

Business Analyst - Johannesburg, GP Gauteng

Business Analyst

This mid-to-senior Business Analyst role sits within a technology and data-focused function, with responsibility for connecting business stakeholders to the data and technical teams to improve decision-making, processes and reporting. Job Specification

ABOUT THE ROLE

The role acts as a bridge between business teams and data/technical specialists, turning broad business questions, pain points and reporting needs into clear, actionable requirements, metric definitions and process enhancements. Offer

Key responsibilities include

  • Meeting with stakeholders across finance, operations, sales, credit/risk and procurement to understand business processes, pain points and reporting requirements.
  • Asking robust clarifying questions to uncover the underlying business problem behind data or reporting requests.
  • Mapping business processes and identifying where improved data, reporting or automation can enhance outcomes.
  • Helping to define business metrics, KPIs, standard terms and data definitions, working closely with Data Analysts to implement them.
  • Translating operational language into data and technical requirements for the Data Analyst and wider Tech & Data team.
  • Using data and analysis (produced by or with the Data Analyst) to support pricing, risk, supplier, client, sales and operational strategy discussions.
  • Identifying opportunities for automation, prediction, prioritisation and improved decision workflows, and assisting in scoping these for delivery.
  • Supporting practical data governance by reducing conflicting reports and spreadsheet-based “versions of the truth” through aligned definitions and ownership across teams.
  • Using approved AI tools to accelerate documentation, requirements gathering and stakeholder communication, while carefully reviewing all output before it is used.
  • This position is based in Sandton with flexibility, and reports to the Tech & Data Team Lead.

WHAT YOU’LL NEED Essential skills and experience

  • Strong business analysis capabilities, including process mapping, requirements gathering and stakeholder interviewing.
  • Excellent communication skills, with the ability to translate between technical and non-technical audiences.
  • Demonstrated commercial thinking, connecting requirements to business value, risk, revenue and operational efficiency.
  • Confidence working with Excel for reconciliation, light analysis and modelling.
  • A working understanding of key data concepts, such as metrics, definitions and data quality, even without deep SQL or business intelligence expertise.
  • Practical, responsible experience using approved AI tools to support documentation and analysis.

NICE TO HAVE Beneficial experience

  • Background in a financial services, lending or fintech environment.
  • Experience working alongside finance, credit, risk, procurement or sales teams.
  • Exposure to Power BI, SQL or data modelling concepts (not necessarily as a developer, but sufficient to support effective translation between business and technical stakeholders).

WHY JOIN US

  • This opportunity sits within a growing, technology-enabled financial services environment focused on providing funding and support to businesses, particularly SMMEs. Teams typically work closely with procurement, credit, risk and operations to enable efficient, well-governed decision-making. A strong emphasis is placed on:
  • Using data and analytics to support lending and credit decisions, pricing and risk management.
  • Collaborating across disciplines (finance, operations, sales and technology) to deliver reliable, scalable processes.
  • Applying modern tools, including AI and business intelligence, to improve documentation quality, reporting consistency and operational efficiency.
  • Operating in a professional, outcomes-focused setting where robust analysis and clear communication are valued.
  • To apply, please submit your CV, highlighting your business analysis experience and relevant exposure to financial services and data-focused environments.

Monthly Salary: R70000 - R80000

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