Salary: £50,000 - 60,000 per year Requirements: Proven experience in data-specific roles: A minimum of two to three years working with BI tools or any data-specific role with a sound knowledge of database management, data modelling, business intelligence, SQL querying, data warehousing, and online analytical processing (OLAP). Over five years of experience working with Microsoft Business Intelligence Stack, including Power BI, SSIS, SSRS, and SSAS, Fabric Lakehouse architecture, Fabric Pipelines, Azure Data Factory. Advanced Power Query knowledge for data transformation. Strong analytical and problem-solving skills. Ability to work independently and as part of a team. Skills in BI tools and BI systems such as Power BI, SAP, Tableau, etc., creating data-rich dashboards, implementing Row-level Security (RLS) in Power BI, and writing DAX expressions. Familiarity with developing custom BI products using scripting and programming languages like R, Python, etc. In-depth understanding and experience with Microsoft BI stacks such as Power Pivot, SSIS, SSRS, and SSAS. Desirable experience in advanced analytics - predictive and prescriptive analysis. Eligibility to pass Security Clearance (SC) vetting and clearance. Responsibilities: Analyze complex data sets and provide insight to stakeholders. Develop and design new reports in Power BI. Maintain and optimise existing reports and dashboards. Be a champion for Power BI and grow user understanding. Collaborate with cross-functional teams and stakeholders. Identify and troubleshoot data and report issues. Uphold high standards of data quality. Technologies: Azure Business Intelligence DAX Fabric Power BI Power Query Python SAP SQL Security SSAS SSIS Tableau Cloud More: We are seeking a Power BI Developer to join our team. In this remote role, with occasional travel to our Liverpool office, you will play a key role in helping our business make data-driven decisions. We offer a competitive salary of up to £60,000 and an opportunity to be part of a dynamic and innovative team dedicated to optimizing data insights for effective business strategies. last updated 17 week of 2026