Analytics Engineer

Belay Talent Solutions; Sandton; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Belay Talent Solutions in Sandton is seeking an Analytics Engineer to transform raw data into analytics-ready datasets that support reporting and decision-making. This role sits at the intersection of Data Engineering and Data Analytics and focuses on building trusted data assets for business insights.

The ideal candidate will have 5–8+ years in related roles, strong SQL and data transformation skills, experience with Power BI datasets, and hands-on data modelling using Kimball-style fact and

Qualifications

• Degree in data-related field.
• 5–8+ years in Analytics/Data Engineering or similar roles.
• Strong SQL and data transformation skills.

Responsibilities

• Build and maintain analytics-ready datasets.
• Design data models (fact and dimension tables).
• Develop ETL/ELT data pipelines.
• Deliver datasets for Power BI reporting.
• Ensure consistent business metrics and data definitions.
• Collaborate with stakeholders, analysts, and data teams.

Skills

Data Modelling

SQL

Power BI

Azure Data Services

Synapse Analytics

Microsoft Fabric

ETL/ELT Development

Business Requirements Analysis

Education

Relevant degree in Data Science, Computer Science, Information Systems, or related field

Job description

Analytics Engineer

Purpose: Transform raw data into clean, structured, analytics-ready datasets that support business reporting and decision-making. This role bridges Data Engineering and Data Analytics.

Key Responsibilities

• Build and maintain analytics-ready datasets.
• Design data models (fact and dimension tables).
• Develop ETL/ELT data pipelines.
• Deliver datasets for Power BI reporting.
• Ensure consistent business metrics and data definitions.
• Collaborate with stakeholders, analysts, and data teams.

Requirements

• Relevant degree in Data Science, Computer Science, Information Systems, or related field.
• 5-8+ years' experience in Analytics Engineering, Data Engineering, or similar roles.
• Strong SQL and data transformation skills.
• Experience with Power BI datasets and reporting.
• Hands-on data modelling experience (Kimball, fact and dimension tables).
• Experience with Azure, Synapse, and Microsoft Fabric.

Key Skills

• Data Modelling
• SQL
• Power BI
• Azure Data Services
• Synapse Analytics
• Microsoft Fabric
• ETL/ELT Development
• Business Requirements Analysis

Ideal Candidate: An experienced Analytics Engineer with strong SQL, data modelling, Power BI, and Microsoft data platform expertise, capable of building trusted datasets that drive business insights and reporting.