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  • Posted: Apr 23, 2026
    Deadline: Not specified
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  • TFG (The Foschini Group) is a South African fashion lifestyle retailer & comprises of 22 fashion forward brands. Our range includes some of the leading fashion, home wear, sportswear, cellular and jewellery brands in the country, as well as a host of innovative financial services. TFG comprises of the following 22 exciting retail brands; @home, @homelivi...
    Read more about this company

     

    Data Analyst: Logistics

    Responsibilities

    • Gathering, documenting and signing off on TFG Logistics data requirements.
    • Converting data requirements to workable technical implementation specifications.
    • Developing end-to-end solutions for agreed requirements. Including data sources, conversion scripts, user accessible artifacts (Excel, IBM Cognos, Power BI and others).
    • Testing and validating code to ensure accuracy and reliability.
    • Enhancing the data-driven culture at TFG Logistics through support, training and data governance initiatives.
    • Continuous pursuit of additional skills to delivery customer needs.
    • Overcoming technical/architectural challenges to deliver new data related capabilities.

    Qualifications
    Qualifications and Experience:

    • Diploma, Graduate Degree, or Post Graduate Degree in computer science, data engineering, analytics or similar.
    • Extensive knowledge of retail supply chain processes.
    • Experience of working with warehouse management and transport management systems.
    • Data pipeline / engineering experience.
    • Oracle SQL, Python, Power BI. 
    • Data visualisations – Power BI.
    • Data governance (Databricks).

    Skills: 

    • Applying practical experience to enhance understanding and application of data in a transactional environment.
    • Immense attention to detail.
    • Strong desire to deliver at speed and high customer satisfaction.
    • Clear and constructive communication to facilitate requirements documentation and product training and delivery.
    • Creating reliable data products from a vaguely defined data environment through practical validations.

    Behaviours: 

    • Commitment to high-speed technical delivery under time pressure.
    • Ability to simplify communication to non-technical audiences.
    • Ability to work on a variety of deliverables as pressures and understanding matures. (Multi-tasking).
    • Display a sense of tenaciousness to keep pursuing solutions to a new delivery problem.

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