Data Analyst II at Capitec Bank

• At Capitec, we believe better decisions start with better insights. The Data Analyst role exists to unlock value from data by turning complex information into clear, meaningful insights that help our teams make smarter decisions. You’ll work closely with stakeholders across the business to identify trends, solve problems, and support our ambition of being a truly insights‑driven organisation.
• If you enjoy working with data that has real‑world impact — and translating insights into actions people can 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 projects that drive measurable business impact
• Analyse large, complex datasets using advanced tools and statistical methods
• Partner with cross‑functional teams (finance, marketing, IT and others) to understand business needs
• Build clear, compelling dashboards and visualisations for decision‑makers
• Communicate findings and recommendations to non‑technical stakeholders in a clear, practical way
• Apply your understanding of financial products, regulations and industry trends to data analysis

What we’re looking for

• 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
• Experience in data analysis, with a significant portion in the financial services or banking sector
• Proven track record of leading data analysis projects and driving business impact through data insights
• In using advanced data analysis tools and software (e.g., SQL, Python, R, Tableau, Power BI).
• Experience in performing complex data analysis and statistical modelling.
• Experience working with, guiding and providing subject matter expertise to cross-functional teams (e.g., finance, marketing, IT) to understand business needs and provide data-driven insights.
• Of communicating and presenting findings and recommendations to non-technical stakeholders.
• Understanding of various financial products and services, industry trends, industry regulations and compliance requirements and their impact on financial data analysis

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.

Skills

• Analytical Skills
• Communications Skills
• Problem solving skills
• Project Management Skills (Methodolgy Specific)