Data Analyst II

About the role

Capitec is hiring a Data Analyst II, based in Stellenbosch. 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?

Responsibilities

• 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
• Minimum Experience
• 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

• Qualifications (Minimum)
• Bachelor's Degree in Analytical/Data/Technical or Other
• Tools and technical skills
• 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
• Conditions of Employment
• Clear criminal and credit record