Data Analyst I

Join Us in Becoming the Best Bank in the World!!

We appoint energized and motivated people for their potential and continuously look for talented,drivenindividuals to help us innovate and evolve. That is why we focus on finding the right people for the rightjobs.We love what we do because we focus on making a positive difference for our clients and employees.Ourcompany DNA is built around talented and committed teams dedicated to build a brand that we are proudofand earns the trust of our clients.

Who We Are

We are a bank, but we’re much more than that. We believe that banking is about enabling people tocontroltheir financial lives through banking that is simplified, accessible, affordable, and delivered through apersonalexperience. By helping our clients manage their financial lives better, we enable them to live better.

Why choose Us

At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Clientfirst,act with Energy and take Ownership. And to support people in being their best, our EmployeeValueProposition offers every value to all team members through cohesive teams, growth opportunities as wellasemployee benefits and savings. We make it a priority to ensure that each member of the Capitec teamfeelswelcome, valued, focused, and has the opportunity to grow.

Purpose Statement

• The Data Analyst role exists to unlock value from data by making data accessible and meaningful to stakeholders across the organization. This role transforms data into actionable insights that support strategic decision-making, optimize operations, and drive business performance. By identifying trends, patterns, and opportunities, the role enables informed, data-driven decisions and contributes directly to the company’s strategic objective of being an insights-driven organization.        

Experience

• NB. Length of experience required is conditional on the qualifications obtained but must include:
• Experience in data analysis, preferably within the financial services or retail sector.
• Experience in contributing to data analysis projects 
• In using data analysis tools and software (e.g., SQL, Python, R, Tableau, Power BI).
• Experience in performing  data analysis and statistical modelling.
• Experience working with cross-functional teams (e.g., finance, marketing, IT) to support business requirements and the provision of data-driven insights.
• Ability to communicate findings and recommendations to non-technical stakeholders.
• Exposure to financial products and services and market trends and their impact on data analysis.

Qualifications (Minimum)

Qualifications (Ideal or Preferred)

Knowledge

• Basic understanding of basic SQL commands and queries to extract and manipulate data.
• Proficiency in using Excel for data analysis, including functions, pivot tables, and basic formulas.
• Familiarity with basic features of Data Visualization Tools Power BI, or similar.
• Basic knowledge of programming languages (such as Python or R)  for data analysis tasks.
• Understanding of fundamental statistical concepts and their application in data analysis.
• Understanding of data cleaning techniques to ensure data quality.
• Knowledge of descriptive statistics to summarize and describe data.

Conditions of Employment