Position Reports to: Senior Manager: Engineering​ (Innovation)
Division: Strategy Enab & Modernisation
Location: Head Office, Lehae la SARS
Advert Closing Date: 05 October 2025

About the Position

The SARS Innovation Incubator (II) located within the Strategy, Planning and Modernisation (SPM) unit is looking for a highly skilled and detail-oriented Specialist Data Analyst with relevant academic competence, experience and a solid work ethic to join a dynamic team that will drive data-driven problem solutions with a particular focus on modernisation initiatives across SARS.

Job Purpose

The successful candidate will be responsible for managing and analysing data to support the envisioning Lab’s initiatives. This role involves leveraging data to drive insights, inform decision-making, and support the development of innovative solutions. The responsibilities also include ensuring data integrity, developing data models, and collaborating with cross-functional teams to achieve the Envisioning Lab’s objectives.

Education and Experience

Minimum Qualification & Experience Required

Relevant Bachelor’s Degree / Advanced Diploma (NQF 7) in (Informatics/Computer Science/Statistics/IT) AND 8-10 years’ experience in Data Engineering / Business Data Intelligence / Data Science, of which 3-4 years at a junior specialist level.

Alternative#Senior Certificate (NQF 4) Informatics/Computer Science/Statistics/IT) AND 15 years in Data Engineering / Business Data Intelligence / Data Science experience, of which 3-4 years at a junior specialist level.

Minimum Functional Requirements

• Experience in Data Engineering / Business Data Intelligence / Data Science
• Advanced (applied theory) technical expertise regarding data processes, data cleaning, analysis, reporting, data models, and database design and testing
• Knowledge of and experience with reporting tools (SQL and Power BI / Tableau or equivalent), databases (SQL Server) and programming (R, Python, etc.)
• Advanced (applied theory) knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, R, etc.)
• Advanced (applied theory) Data warehouse knowledge.
• Be advanced in the application of:

• Basic Data Migration
• Basic Data Visualization   
• Business Intelligence Methodologies
• Database Knowledge

• Advanced (applied theory) Programming Skills – i.e. SQL, and Python/R, etc.
• Microsoft skills (Advanced in)– i.e. Excel, Word, PowerPoint, etc.
• Experience with AI-driven data analytics would be an advantage, including the application of large language models (LLMs), machine learning algorithms, predictive modelling, and familiarity with tools such as TensorFlow, PyTorch, or equivalent platforms.

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