Analytics Engineer
Tsebo Solution · Johannesburg, Gauteng
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Start free — we apply for you →- 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.
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
Deadline:10th August,2026