Data Analyst II

About the Role

Product Health sits within Business Improvement & Optimisation and supports Capitec's number one strategic objective: building trust with clients. The team uses data, client feedback, operational signals and AI-driven insights to spot where client trust is breaking down — then works with product teams to fix the root causes. The team's work covers more than 60 products and over 100 data assets across the bank.

Responsibilities

• A high volume of clients calling the contact centre about a specific product
• what's driving it and what should change?
• Client-dispute limitations in an app
• should product functionality or thresholds be adjusted?
• A broken process causing branch visits
• where does the fix sit and what's the evidence?
• Investigate client and product pain points using data, client feedback, operational signals and AI-driven insights
• Identify root causes of high-volume client issues and size the business opportunity
• Develop evidence-based business cases and work with product owners to determine remediation actions
• Locate and integrate additional data sources when existing sources are insufficient to support an analysis
• Perform complex data analysis and statistical modelling
• interpreting large datasets and translating findings into clear, actionable recommendations for product and business teams
• Engage and influence senior stakeholders and product owners to drive remediation decisions
• Work with product teams across 60+ products to implement solutions
• from functionality changes to threshold adjustments
• Contribute to maintaining the product health score across 100+ data assets
• Work primarily on ad hoc analysis
• this role does not focus on building repeatable dashboards within a structured software-development lifecycle
• Bachelor's Degree in Analytical, Data, Technical, Engineering or a related field
• Minimum of 5 years experience in data analysis, with a significant portion in the financial services, banking or a related analytical environment
• Experience leading data analysis projects and driving business impact through insights
• Experienced with advanced data analysis tools
• SQL and Python are the minimum technical requirements for this role
• Complex data analysis and statistical modelling
• Working with and guiding cross-functional teams
• Communicating and presenting findings to non-technical stakeholder

Requirements

• Bachelor's Degree in Analytical/Data/Technical or Other
• Advanced SQL
• complex query writing, query performance optimisation and large dataset management
• Python or R
• data manipulation libraries (pandas, numpy) and visualisation libraries (matplotlib, seaborn)
• Advanced visualisations and dashboards
• Power BI, Tableau or similar
• R for statistical analysis
• Snowflake or AWS
• useful but not a strict requirement
• Advanced Excel
• including macros and VBA
• Strong understanding of statistical methods and their application in financial data analysis
• Predictive analytics techniques and their application in financial services
• Data modelling techniques to structure and organise data effectively
• Risk analysis methods and their application in financial services
• Clear criminal and credit record