Data Analyst

About the role

Capitec is hiring a Data Analyst, based in Stellenbosch. Communicate findings and recommendations clearly to non‑technical stakeholders Apply your understanding of financial products, business processes and industry context to your analysis

Requirements

• Minimum Experience
• An Honours degree in Analytics, STEM or a related field, with at least 5 years’ relevant experience, or
• A Bachelor’s degree in Analytics, STEM or a related field, with at least 8 years’ relevant experience
• Solid experience in data analysis, ideally within banking or financial services
• A proven track record of delivering insights that drive business decisions and outcomes
• Strong capability in advanced data analysis tools such as SQL, Python, R, Tableau or Power BI
• Experience performing complex analysis and statistical modelling
• Confidence working with cross‑functional teams to translate business needs into data solutions
• The ability to explain insights clearly and influence decision‑making at different levels
• A good understanding of financial products, industry trends and regulatory requirements, and how these affect data analysis
• Knowledge
• Advanced proficiency in writing complex SQL queries, optimizing query performance, and working with large datasets.
• Expertise in advanced Excel functions, including macros and VBA.
• Proficiency in creating advanced visualizations and dashboards using tools like Tableau, Power BI, or similar
• Advanced skills in Python or R, including data manipulation libraries (e.g., pandas, numpy) and data visualization libraries (e.g., matplotlib, seaborn).
• Strong understanding of statistical methods and their application in financial data analysis.
• Understanding of predictive analytics techniques and their application in financial analysis.
• Knowledge of data modelling techniques to structure and organize data effectively.
• Understanding of risk analysis methods and their application in financial services.
• Qualifications (Minimum)
• Bachelor's Degree in Analytical/Data/Technical or Other
• Qualifications (Ideal or Preferred)
• Honours Degree in Analytical/Data/Technical or Other
• Knowledge
• Advanced proficiency in writing complex SQL queries, optimizing query performance, and working with large datasets.
• Expertise in advanced Excel functions, including macros and VBA.
• Proficiency in creating advanced visualizations and dashboards using tools like Tableau, Power BI, or similar.
• Advanced skills in Python or R, including data manipulation libraries (e.g., pandas, numpy) and data visualization libraries (e.g., matplotlib, seaborn).
• Strong understanding of statistical methods and their application in financial data analysis.
• Understanding of predictive analytics techniques and their application in financial analysis.
• Knowledge of data modelling techniques to structure and organize data effectively.
• Understanding of risk analysis methods and their application in financial services.
• Conditions of Employment
• Clear criminal and credit record