Business Intelligence Analytics Support Specialist

12 hours ago


Sandton, South Africa Kamo Placement Full time

Gauteng, Sandton
- Annually Cost To Company (Market related, Negotiable)

To build, support, maintain and optimise business intelligence (BI) analytical solutions and services across the company

**JOB DESCRIPTION**
- Implement data and analytics standards and frameworks across the company 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 company.
- 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.

**JOB REQUIREMENTS**
- A Bachelor’s Degree (NQF 7) in Computer Science, Engineering, Information Management,Information Technology (IT) or Mathematics, or an equivalent qualification;
- Five to seven years’ experience in building, optimising and enhancing PowerBI solutions;
- Solid experience with other BI tools such as MicroStrategy, SAS and Tableau; and
- A PowerBI certificate.

The following would be an added advantage:

- Experience with Python and/or R; experience using cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure;
- Data engineering certifications;
- SAS certifications; and/or
- Experience with implementing in Development Security Operations (DevSecOps) and Agile environments.

For more information please contact:

- margret chifamba



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