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  • Posted: Sep 23, 2025
    Deadline: Not specified
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  • The South African Reserve Bank is the central bank of South Africa. It was established in 1921 after Parliament passed an act, the "Currency and Bank Act of 10 August 1920", as a direct result of the abnormal monetary and financial conditions which World War I had brought


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    Data Analyst

    Detailed description

    The successful candidate will be responsible for the following key performance areas:

    •   Prepare and provide accurate and reliable data and information products in support of strategic decisions.
    • Discover data by applying data discovery mechanisms in order to establish the datasets within the South African Reserve Bank (SARB).
    • Identify the data profiles of the datasets discovered in order to determine their completeness and compliance as well as for the purpose of inventory management.
    • Establish relationships between data elements and their impact on the business.
    • Understand the business requirements, and address matters of data completeness and data quality. 
    • Conduct analysis in order to track the dataset life cycle from its initial generation to its eventual archival and/or deletion.
    • Conduct data analysis in order to determine the various categories of data and information. 
    • Conduct data analysis in order to determine the importance of the data to the business and the probability of reuse. 
    • Produce regular reports and provide status updates as well as information for the business domain. 
    • Develop and manage stakeholder relations effectively to promote data management across the organisation.
    • Support reliable decision making and appropriate data usage.
    • Provide input as data transitions from source to destination.

    Qualifications

    To be considered for this position, candidates must be in possession of:

    • a Bachelors (NQF 7) in Computer Science, Computer Engineering or Data Science, or an equivalent qualification; and
    • a minimum of five to eight years’ experience job-related experience within the data analysis environment

    Additional requirements include:

    • capacity and performance management. 
    • Microsoft data and analytics technology stack (including Power BI, Fabric)
    • Ralph Kimball dimensional modelling
    • Business Intelligence semantic layer
    • Data governance

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