Analytics Engineer

About Us

We are looking for an experienced Analytics Engineer to join our growing data team. This role is critical in enabling data-driven decision-making by transforming raw data into clean, structured, and analytics-ready datasets.

This role sits between Data Engineering and Data Analytics, acting as the bridge between technical data platforms and business reporting.

This is not a pure Data Engineering role.

We are specifically looking for someone who has hands-on experience structuring, modelling, and preparing data for business use.

As a leading African Integrated Workplace Management Solutions Provider, Tsebo Solutions Group offers clients reduced costs, risk and complexities together with increased quality, efficiency and productivity. We specialise in Catering, Facilities Management, Cleaning and Hygiene, Pest Control, Protection, Energy, Procurement, Workspace Design, Engineering, Remote Camps, and more. Developing our people – the heart of Tsebo – is the foundation of our purpose. The result is a knowledgeable workforce that is in touch with every nuance of our clients’ needs. DOWNLOAD OUR ONE-PAGER to find out more about who we are in a nutshell.

Duties & Responsibilities

• Transform raw data into clean, structured, analytics-ready datasets
• Design and build data models (fact and dimension tables) for reporting
• Develop and maintain data pipelines (ETL / ELT) within a Microsoft environment
• Deliver curated datasets for Power BI and analytics use cases
• Apply consistent business logic to ensure trusted metrics and definitions
• Work closely with analysts, stakeholders, and data teams to enable reporting and insights

Skills and Competencies

• Strong data modelling (fact & dimension / Kimball)
• Proven experience building analytics-ready datasets
• Solid Power BI dataset / reporting support experience
• Advanced SQL and data transformation skills
• Experience in Azure, Synapse, Fabric (Microsoft data stack)
• Ability to translate business requirements into data solutions

Qualifications

• Relevant degree in Data Science, Computer Science, Information Systems or a related field
• Microsoft data certifications in Azure, Data Engineering or Power BI advantageous
• 5–8+ years’ overall experience in data engineering, analytics engineering, or similar roles
• Proven experience building analytics-ready datasets for reporting and dashboards
• Strong hands-on experience in data modelling including fact and dimension tables
• Experience working with Power BI datasets and business reporting
• Experience transforming and structuring data within a Microsoft data environment, including Azure, Synapse and Fabric