IT Analytics Engineer – Holding Companies

About the role

We are seeking a technically strong IT Analytics Engineer to lead the design and optimisation of enterprise semantic models and analytical capabilities within the Microsoft ecosystem. This collaborative role bridges business requirements with robust data architecture and advanced analytics.

Key responsibilities

• Design, build, and maintain high‑performance Power BI semantic models and datasets.
• Develop complex DAX measures, calculations, and business logic for enterprise reporting.
• Define and curate business logic that transforms data into trusted analytical assets.
• Implement advanced semantic modelling techniques such as calculation groups and composite models.
• Optimise models and datasets within the Microsoft Fabric ecosystem.
• Establish standard definitions and a single source of truth for enterprise metrics.
• Leverage AI‑powered capabilities in Power BI and Microsoft Fabric to accelerate development.
• Implement and enforce data governance standards, including Row‑Level Security and Object‑Level Security.
• Collaborate with Data Engineers and BI teams to optimise upstream and downstream data consumption.
• Support Data Analysts and business users in adopting self‑service BI capabilities.
• Build dashboards and analytical solutions for complex business scenarios when required.
• Drive data quality, validation, and continuous improvement initiatives across analytical environments.

Required profile

• 5‑8+ years of experience in data modelling, business intelligence, or analytics engineering.
• Strong stakeholder management and cross‑functional collaboration capabilities.
• Professional certifications such as Microsoft Certified: Fabric Analytics Engineer Associate (DP‑600) and Power BI Data Analyst Associate (PL‑300) are advantageous.

Required skills

• Power BI development and DAX optimisation (expert‑level).
• Power Query (M) and SQL proficiency.
• Experience with Microsoft Fabric components: Data Warehouse, Lakehouse, OneLake, and Data Pipelines.
• Strong understanding of Star Schema design and Medallion Architecture principles.
• Experience working with relational databases such as Oracle.