Data Analyst
At a glance
Mid-level Data Analysis & BI role at Capitec Bank. Stellenbosch.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Turn complex datasets into practical insights that inform business strategy and performance
- Run analysis projects from start to finish, using large datasets to uncover measurable business impact
- Create clear dashboards and reports, then explain findings to non-technical decision-makers
- Work with teams across the business to clarify their data needs and tackle challenges
- Spot trends, risks and opportunities across products, processes and customer journeys
What you bring
- An Honours degree in analytics, STEM or a related area, plus at least five years of relevant experience, or a Bachelor's degree and eight years
- Strong data analysis experience, with SQL and advanced Excel skills including macros and VBA
- Experience building visualizations and dashboards with Tableau, Power BI or similar tools
- Advanced Python or R skills, alongside sound statistical methods for financial data
- A clear criminal and credit record
Who this fits
This role suits an experienced analyst who can connect financial products and processes with analysis, and explain findings to people without technical backgrounds. You’ll work across teams and contribute to analysis from initial questions through to recommendations. It is an ongoing talent pipeline, so applicants may be considered for current or future openings.
From the employer
Why this role exist
At Capitec, we believe better decisions start with better insights. This role exists to unlock the value of our data by turning complex information into clear, practical insights that help our teams make smarter decisions and deliver better outcomes for clients.In this role, you’ll work closely with stakeholders across the business to understand their needs, identify opportunities, and use data to solve real problems. Your insights will support how we design products, improve processes and measure performance — helping us grow as a truly insights‑driven organisation.If you enjoy working with data that has real‑world impact — and explaining insights in a way people can easily understand — this role could be for you.
What you'll be doing:
In this role, you’ll:
- Transform complex data into actionable insights that support business strategy and performance
- Lead and contribute to end‑to‑end data analysis initiatives with measurable business impact
- Analyse large, complex datasets using advanced analytical tools and techniques
- Partner with cross‑functional teams to understand business challenges and data requirements
- Build clear, intuitive dashboards and reports for decision‑makers
- Identify trends, risks and opportunities across products, processes and customer journeys
- Communicate findings and recommendations clearly to non‑technical stakeholders
- Apply your understanding of financial products, business processes and industry context to your analysis
What we're looking for
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.
Disclaimer:
This is an ongoing talent pipeline. By applying, you are expressing interest in joining Capitec's Data Analytics team and will be considered for current or future opportunities as they arise. We will contact you when relevant roles open up and encourage you to stay connected for exciting possibilities!
Conditions of Employment
- Clear criminal and credit record