Senior Business Intelligence Analyst

SF Technology Partners
Warrington, England
9 months ago
Applications closed

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PowerBI Developer

SF Partners Wilnecote, Staffordshire, B77 2PH, United Kingdom
£55,000 – £60,000 pa Hybrid
Posted
6 Sep 2025 (9 months ago)

We’re looking for a hands-on Business Intelligence Analyst to join the BI & Analytics team at a fast growing team going through an exciting data transformation phase. This role is about more than building dashboards – we need someone who can work end-to-end with data, from extraction through to modelling, optimisation and delivering meaningful insights to the business.


What you’ll be doing

  • Designing and delivering Power BI dashboards that are accurate, intuitive and widely adopted across the business.
  • Building and maintaining semantic models (star schema, relationships, hierarchies) to create a single source of truth.
  • Ability to read SQL Code
  • Implementing Row-Level Security (RLS) and governance controls to ensure the right people see the right data.
  • Using Power Query (M language) and DAX for advanced transformations and calculations.
  • Applying incremental refresh and other optimisation techniques to improve dataset performance.
  • Partnering with stakeholders across Finance, Operations and Commercial teams to gather requirements and turn them into actionable insight.
  • Communicating the “why” behind the data, not just the numbers.


What we’re looking for

  • Proven experience as a BI Analyst / Power BI Developer in a commercial environment.
  • Strong technical skills in Power BI (DAX, Power Query, RLS, semantic modelling).
  • Ability to read and understand SQL
  • Strong stakeholder engagement – able to explain technical concepts to non-technical audiences.
  • Comfortable working in a fast-paced, regulated environment where accuracy and governance are critical.

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Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.