Data Analyst

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We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

• To see what life at Capitec is all about and complete a short assessment, please click here!

• Once you have completed the above finalize your application by clicking apply below.

Why the role exist:

At Capitec, we're building a more insights-driven card business by making trusted, meaningful data accessible to decision-makers across the organisation. As a Data Analyst within the Client Card Insights team, you will play a key role in transforming card, client, merchant and product data into actionable insights that influence strategic decision-making. You will work closely with business owners, product teams, portfolio managers and operational stakeholders to understand challenges, identify opportunities and deliver data solutions that improve client outcomes and business performance. This role goes beyond report development. You'll help drive the evolution of our analytics landscape by contributing to self-service reporting capabilities, reporting modernisation initiatives and advanced analytical solutions. If you enjoy solving complex business problems, working with large-scale datasets and turning data into compelling stories that influence decisions, we'd love to hear from you.

What you'll be doing

• Deliver meaningful insights across Capitec's card and payment ecosystem, helping stakeholders understand client behaviour, product performance and operational trends.

• Partner with business stakeholders to translate business questions into analytical solutions and measurable outcomes.

• Develop and maintain dashboards, analytical datasets and reporting solutions using Power BI and enterprise data platforms.

• Analyse large, complex datasets to identify trends, opportunities, risks and performance drivers.

• Support strategic initiatives through data-driven recommendations and impact analysis.

• Contribute to the design and adoption of self-service analytics capabilities that empower business users to access and explore trusted data independently.

• Work with modern data platforms and semantic models to improve data accessibility, consistency and governance.

• Perform root-cause investigations and diagnostic analysis to support business decision-making.

• Present findings and recommendations to both technical and non-technical audiences.

• Collaborate with data engineering, product, operational and analytics teams to improve data quality and reporting capabilities.