Data & Analytics Lead
Key details
- Compensation
- $80,000 - $100,000
Job Description
Salary: £80,000 - 100,000 per year
Requirements
- 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 and semantic modelling
- Strong knowledge of Microsoft Fabric, including Warehouse, Lakehouse, OneLake and Direct Lake
- Experience owning enterprise or cross-business-unit data models
- Strong stakeholder management and leadership skills
Responsibilities
- Design reusable data products, dimensional models and semantic models
- Set standards around business logic, KPIs, DAX, Power BI and data quality
- Translate complex business requirements into scalable data solutions
- Work closely with the Lead Data Engineer across the Microsoft Fabric environment
- Review models and logic produced by the BI team
- Coach technical teams and influence senior business stakeholders
- Shape the data roadmap, governance and operating model
- Explore new Fabric, Power BI and AI capabilities
Technologies
- AI
- Azure
- DAX
- Fabric
- Power BI
- Power Query
- SQL
- Cloud
More
We are working with a leading organisation going through a major data transformation, including a move from Azure SQL to Microsoft Fabric. 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. It is a fully remote role with some London office trips, offering a salary of £80K to £100K. This 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. We embrace inclusivity and welcome applicants of all backgrounds, experiences and abilities, and we are proud to be a disability confident employer.
last updated 35 week of 2026
Company & context
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Range from 5 indexed roles at this employer: $15 - $100,000(mid ~72003)
Context reflects data collected at crawl time.
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