Brief description
The main purpose of this position is to build, support, maintain and optimise business intelligence (BI) analytical solutions and services across the South African Reserve Bank (SARB).
Detailed description
The successful candidate will be responsible for the following key performance areas:
- Implement data and analytics standards and frameworks across the SARB to ensure optimised analytical solutions and adherence to best practice, including of the Data Management Association (DAMA), Data Operations, Development Operations (DevOps), Machine Learning Operations (MLOps) etc.
- Continuously develop BI and analytics solutions and reports aligned to clients’ strategies.
- Take responsibility for BI and analytics solutions and reports for domain-specific implementations across the SARB.
- Design, build and support data analytics solutions and reports that are robust, modular, scalable, deployable, reproducible and versioned for analytics and reporting purposes.
- Continuously monitor domain-specific analytical solutions and reports to ensure solution availability.
- Enhance and optimise domain-specific analytical solutions and reports, ensuring the continuous improvement and optimal long-term performance of analytical solutions and reports.
- Diagnose, resolve and provide solution support to raised incidents and issues across domain-specific analytical solutions and reports.
- Implement security and compliance rules to ensure adherence to relevant policies with respect to all BI and analytics solutions and reports.
- Identify, manage and mitigate risks relating to domain-specific analytics services.
- Proactively engage and problem-solve with cross-functional stakeholders, from technical data teams to managers, to resolve incidents and issues on analytical solutions and reports.
- Report and provide recommendations to management on solution utilisation, performance and improvements for domain-specific solutions.
- Guide and train business users on how to use analytical solutions and reports as well as relevant reporting technologies.
- Impart knowledge of the technical environment to other analytics support specialists, data engineers, application technical specialists and product owners.