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Responsible for end-to-end tasks within the Data Analysis framework, working closely with business representatives, product owners, and other stakeholders to define and elicit requirements, analyze data, and assist developers in creating information.

Collaborate with a dynamic team of data experts, grow your skills and competencies.


Data Preparation

  • Ensure all Data is of a high quality and is fit for purpose for easy interpretation by the business.
  • This is achieved through Data wrangling, Data cleaning, Data integration, Data transformation, Data profiling, Data mapping, Data quality assurance, Data modelling, Data governance, ETL (Extract, Transform, Load), Data warehousing, Data validation.

Analysis and Visualisation

  • Conduct Data Analysis and Visualisation for business consumption.
  • This is achieved through Data exploration, Statistical analysis, Predictive modelling, Machine learning, Data storytelling, Dashboard design, KPI (Key Performance Indicators) creation, Data mining, Business intelligence.

Stakeholder Engagement

  • Provide a Data Analysis service to various stakeholders across the business to solve various business problems.
  • This is achieved through high quality Communication, Collaboration, Active listening, Stakeholder management, Project management, Facilitation, Presentation skills, Requirements gathering, Business Analysis, Problem-solving, Critical thinking, and Customer service.



  • Matric
  • Bachelors Degree (preferred) or related NQF 6 qualification (required) in a relevant field e.g. Statistics, Data or Computer Science, Engineering.

Experience/ Knowledge

  • 3 – 5 years+ experience in Analytics, Data Modelling and Data Profiling (intermediate level).
  • Strong knowledge of and experience with Reporting and Visualisation Software, Databases and Querying.
  • Strong Analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
  • Demonstrated experience in handling large Data Sets and Relational Databases.
  • Financial services experience is advantageous.

Technical Requirements

  • Technology currently in use:
  • SQL, Cloudera, Wherescape, Python, DataRobot, NiFI, Business Objects, Informatica
  • Experience in the following will be considered as a transferable skill to what is used:
  • Talend, Tableau, PowerBI, SAS, SPSS, Snowflake

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