Jobs

Data Analyst at South African Reserve Bank

  • Job Type Full Time
  • Qualification Bachelors
  • Experience 5 – 8 years
  • Location Gauteng
  • City Pretoria
  • Job Field Data, Business Analysis and AI&nbsp , ICT / Computer&nbsp

Data Analyst at South African Reserve Bank

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

Method of Application

Interested and qualified? Go to South African Reserve Bank on fa-evra-saasfaprod1.fa.ocs.oraclecloud.com to apply

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