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South African Reserve Bank

(1847) Data Analyst - BSTD

South African Reserve Bank Pretoria, Gauteng, South Africa

Banking · 1,001-5,000 employees

21 h ago
data-analyst Senior (5-10 yrs) Full-time South Africa
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About the role

The role involves managing and governing the data ecosystem to provide actionable insights and support effective decision-making. Responsibilities include discovering datasets, implementing data standards, and developing stakeholder relations to promote reliable data usage.

What they look for

Data analysis Data governance Data modeling SQL Python R Data warehousing Information management Metadata management Data quality management Statistical analysis Business intelligence Enterprise information management Data discovery Reporting Stakeholder management

Requirements

Candidates must hold a Bachelor's degree in a mathematical or technical field and possess five to seven years of experience in data analysis. Proficiency in data manipulation tools, database management systems, and data modeling methodologies is required.

Full description

Brief description

The main purpose of this position is to manage, govern and analyse the data ecosystem, ensuring comprehensive insights and driving data rationalisation to enable informed and effective decision-making across the South African Reserve Bank (SARB).

Detailed description

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

  • Discover data by applying data discovery mechanisms to establish datasets within the context of the business value drivers, processes and data products across the SARB.
  • Identify the data profiles of discovered datasets to determine completeness and compliance, and to support inventory management.
  • Implement standards, guidelines, processes and procedures for data analysis within the SARB.
  • Establish relationships between data elements and assess their impact on the business.
  • Conduct data analysis to determine various categories of data and information.
  • Apply data valuation techniques to determine the importance of the data to the business and the likelihood of reuse.
  • Generate regular reports, deliver actionable insights and provide timely status updates and information to support the management of data domains.
  • Develop and manage stakeholder relations effectively to promote data management across the organisation and support reliable decision-making and appropriate data usage.
  • Provide inputs, such as legislative prescripts, sensitivity classifications and access and authorisation rules, as data transitions from source to destination.

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