Data & Analytics Lead
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Role details
Tech stack
Job description
Data & Analytics Lead - Fabric / Azure £80K - £100K Fully remote - Some London office trips We’re working with a leading organisation going through a major data transformation, including a move from Azure SQL to Microsoft Fabric. They’re looking for a Data & Analytics Lead to take ownership of their regional data products, semantic models and business logic. This is a high-impact leadership role, acting as the right hand to the Director and the key link between Data, BI and the wider business. The role You’ll be responsible for: Designing reusable data products, dimensional and semantic models Setting standards around business logic, KPIs, DAX, Power BI and data quality Translating complex business requirements into scalable data solutions Working closely with the Lead Data Engineer across the Microsoft Fabric environment Reviewing models and logic produced by the BI team Coaching technical teams and influencing senior business stakeholders Shaping the data roadmap, governance
Requirements
and operating model Exploring new Fabric, Power BI and AI capabilities What we’re looking for 7+ years’ experience across Data Engineering, BI, Analytics Engineering or Data Modelling Advanced SQL Strong expertise in Power BI, DAX and Power Query Expert dimensional & semantic modelling Strong knowledge of Microsoft Fabric - Warehouse, Lakehouse, OneLake & Direct Lake Experience owning enterprise/cross-business-unit data models Strong stakeholder management and leadership skillsThis is a great opportunity for a senior Data/BI professional ready to step into a second-in-command position, combining technical leadership with genuine influence across the business. GleeIT At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data
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