Analytics Engineer

Our client, a leading organisation in the data and analytics space, is seeking an Analytics Engineer to join their growing Data & Analytics team. This role offers the opportunity to work with modern Microsoft technologies, transforming business requirements into scalable reporting and analytics solutions that enable informed decision-making across the organisation.

You will play a pivotal role in developing trusted datasets, semantic models, dashboards, and business intelligence solutions while collaborating with stakeholders across the business. This is an excellent opportunity for a data professional who enjoys solving business challenges through analytics and wants to further develop their expertise in modern cloud-based data platforms.

Why apply?

• Hybrid role based in Pretoria with 2 days in-office and the remainder remote.
• Work with cutting-edge Microsoft Data & Analytics technologies, including Microsoft Fabric, Power BI, Azure Synapse Analytics, and Azure Data Factory.
• Be part of a collaborative and growing analytics team delivering impactful business intelligence solutions.
• Opportunity to expand your expertise across reporting, analytics, and modern data platforms.

Key Responsibilities:

• Design, develop, and maintain Power BI dashboards, reports, scorecards, and visualisations.
• Develop semantic models and reporting datasets that support trusted self-service analytics.
• Analyse datasets to identify trends, risks, opportunities, and actionable business insights.
• Collaborate with business stakeholders to translate requirements into analytical solutions.
• Develop and maintain PySpark notebooks within Microsoft Fabric environments.
• Build reporting-ready datasets through data cleansing, transformation, and validation.
• Write and optimise complex SQL queries for reporting and analytics purposes.
• Support data governance, data quality initiatives, and reporting documentation.
• Participate in solution design discussions and contribute to continuous improvement initiatives.

Job Experience and Skills Required:

• Degree, Diploma, or industry certification in Data Science, Computer Science, Information Systems, or a related field (or equivalent experience).
• Minimum 4 years' experience in Analytics Engineering / Data Analytics.
• Extensive experience delivering enterprise reporting and analytics solutions using Microsoft technologies.
• Strong experience with Microsoft Fabric, Power BI, Azure Synapse Analytics, Azure Data Factory, OneLake, and Lakehouse concepts.
• Advanced SQL development skills.
• Proven experience developing Power BI semantic models, dashboards, and reporting solutions.
• Experience developing PySpark notebooks within Microsoft Fabric or Apache Spark environments.
• Strong knowledge of DAX, Power Query (M), data modelling, ETL/ELT processes, and data warehousing principles.
• Experience with Git and version control practices.

Advantageous:

• Exposure to Delta Lake, CI/CD practices, and dimensional modelling (Kimball).
• Experience within Financial Services or Insurance environments.
• Knowledge of DataOps, analytics engineering practices, forecasting, predictive analytics, or machine learning concepts.

Apply now!