Learner, Data Analytics at Standard Bank Group

Job Description

• The Data teams specialise in driving data solutions to add value to our customers in a meaningful way. We are looking for exceptionally talented, bright, and driven people to join our teams and drive a data led culture. These areas are continually evolving and are a place where motivated employees thrive and where employee ownership and accountability leads to meaningful results.
• In our journey to reposition data as a service, these teams are focussing on creating increased commercial value for the organisation. And to do that, we are investing in the best Data skills. We’re building teams of leading Data Analysts who are passionate about innovation to enable the group’s platform and partner to drive value for our clients – this will enable the progress in Africa we all want to see.
• There is high demand for Data Analytics skills in the market. This is a skill you want to have on your CV and the possibilities are endless.

The programme includes:

Structured workplace exposure

• You will work under the supervision and expertise of the technical leads and learn to collect large amounts of structured and unstructured data from primary and secondary sources and extract and transform them into a usable format. Apply data analysis techniques to uncover patterns and trends in datasets (resultant sets of data that can be viewed as tables or as a "spreadsheet of data") to solve business-related problems. Prepare and present descriptive analytic reports on patterns and trends using computer programming languages and explain those patterns and trends through e.g., visualisation, storytelling, etc., using data visualisation tools

Knowledge component

• Occupational Certificate: Data Science Practitioner
• AWS foundations
• Azure fundaments
• If you are passionate about Analysing Data and want to get hands on exposure with the guidance and coaching from our Data Analyst Leads, then the Data Analytics Learnership Programme is the programme to join. We look forward to welcoming you to our team and equip you with future ready skills.

Qualifications

• A completed Bachelors Degree (or higher) in;
  • Mathematical Statistics
  • Financial Mathematics
  • Data Analytics
  • Business Science
  • Applied Mathematics
  • Econometrics
  • Computer Science
  • Information Technology
• Must be a South African Citizen
• Must be between the ages of 18 and 30
• Must be able to speak, read and write English
• Not be registered on any other learnership
• Not be studying at any other institution