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We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

1. To see what life at Capitec is all about and complete a short assessment, please click here!

2.  Once you have completed the above finalize your application by clicking apply below

Purpose Statement To build value for the product line by solving client and business challenges using data.  To utilise data and analytical skills and experience to build insights which enable senior decision makers to make better, informed decisions faster. Productionise insights to be consumed across team (focus on building reusable data assets). To build an understanding of various business domains and relevant products, to address queries and execute analytical tasks. Education (Minimum) A relevant tertiary qualification in Business Administration or Statistics Grade 12 National Certificate / Vocational Education (Ideal or Preferred) Certification in Business Analysis or Similar Knowledge and Experience

Minimum Experience:

At least 5+ years’ experience in a similar Business Intelligence Analyst or equivalent Data role (Data Analyst, etc.); including experience in Data Analytics, BI methods and tools, Data Warehousing, and the Data Product Life Cycle) A good understanding of Database Management and Data Mining ETL (extraction, transform, load) data flow, and traceability Analysing, identifying, quantifying, and subsequently delivering value on how to solve business challenges using complex data sets  Building Data Visualisations using tools such as Power BI  Stakeholder engagement (including Senior Management) Experience in data quality and incident management   Quality assuring and oversight of the work of others. Advanced SQL skills: Using complex SQL to prepare and analyse data (e.g., indexes, query plans, foreign key constraints, common table expressions, etc.) Coding skills and performing code reviews Documentation (going to stakeholders and doing documentation - running projects) Business requirements / requirements gathering Modelling Dashboards

Minimum Knowledge:

Agile project management methodology and experience with tools such as Jira  Data privacy and security regulations and best practices  Design thinking Dimensional Modelling The Data Product Life Cycle (DPLC) Data management 

Ideal Experience / Knowledge:

Previous experience working as a Business Intelligence Analyst / Data Analyst / Business Analyst within the Banking / Financial sector Strong programming/coding: Ability to use scripting languages such as Python or R for data analysis and manipulation Working with data on Cloud platforms (such as AWS or Microsoft Azure)  Change management principles and practices, and change management methodology (ADKAR) Using low/no code AutoML on modelling tools such as Power BI or AWS Sagemaker     Lifetime value analysis, propensity modelling, journey mapping, and root cause analysis User Experience (UX) reviews through customer interactions / product services  Automation using software robots built on platforms such as UiPath or Alteryx  Basic knowledge and experience in using Version Control (Git) Having relevant industry certifications (e.g., CompTIA Data+; Certified Analytics Professional [CAP]; Associate Certified Analytics Professional [aCAP]; Google Data Analytics Professional Certificate; Microsoft Certified; Power BI Data Analyst/Associate; and/or AWS Certified Data Analytics) Mentoring colleagues Skills Commercial Thinking Skills Facilitation Skills Numerical Reasoning skills Presentation Skills Problem solving skills Attention to Detail Planning, organising and coordination skills Communications Skills Interpersonal & Relationship management Skills Additional Information Clear criminal and credit record

Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.