Lead Analytics Engineer

This is not a traditional backend data engineering role. The focus is on modelling, structuring, and defining data so it can be easily understood and used by analysts and business stakeholders.

You'll sit at the intersection of data engineering, analytics, and the business-designing scalable data models, defining key metrics, and enabling self-service analytics across the organisation.

Lead Analytics Engineer Responsibilities

• Design and build a clean, scalable analytical data layer to support reporting and analytics
• Develop reusable, well-documented data models and datasets
• Define and standardise business metrics and KPIs across departments
• Ensure data quality, consistency, and governance best practices
• Partner with stakeholders to translate business requirements into structured data solutions
• Mentor analysts and provide guidance on data modelling and best practices
• Act as a bridge between technical teams and the business

• Proven experience in Analytics Engineering, Data Engineering, or BI Development
• Strong SQL skills and experience with Power BI / Power Query (or similar tools)
• Hands-on experience with cloud platforms (ideally Azure)
• Solid understanding of data modelling (e.g. Kimball, semantic modelling)
• Experience working closely with stakeholders to define metrics and solve data challenges
• Strong communication skills and ability to explain technical concepts clearly