Data Solutions Analyst

About the role

Capitec is looking for a Data Solutions Analyst in Sandton. The role bridges business, operations, the Client Domain and technology teams, turning business requirements into technical solutions while embedding governance, controls and scalability. It supports data quality and remediation, root cause resolution and compliance initiatives, and provides dedicated support to Stellenbosch-based functions.

Key responsibilities

• Gather and translate business requirements into technical solution designs, covering 70% of the role
• Design data flows, data models and enterprise data solutions, working with Data Engineers, Architects, Modellers and business stakeholders
• Own testing, validation and data quality assurance, and embed governance, metadata, lineage and quality controls
• Support root cause analysis and data profiling with SQL, identify trends and data quality issues, and turn data into actionable insights
• Support decision-making with reporting and visualisation
• Help define how a Client Data Standards platform works, design data flows for data quality monitoring, and translate compliance requirements into data controls
• Define remediation solution requirements, set testing and sign-off criteria, and govern data definitions and metrics

Required profile

• Honours degree in Information Technology, Computer Science or Information Technology
• At least 8 years in data analysis or data solutions, with a significant portion in financial services or banking
• 8-10+ years translating business needs into technical solutions, with leadership and mentoring experience (including Communities of Practice)
• Proven track record leading large-scale data analysis or data solutions projects
• Clear criminal and credit record

Required skills

• SQL, Python and R, including machine learning libraries such as scikit-learn and TensorFlow
• Tableau and Power BI
• Data architecture, warehousing and Lakehouse, data modelling and ETL
• Machine learning and predictive analytics, statistical modelling and risk management
• Data governance: metadata management, data lineage and quality controls