Business Intelligence Analyst

BI AnalystUK Remote with occasional travel to a UK officeSalary up to £55,000This is a standout opportunity for a BI Analyst to join a fast-scaling digital marketplace at a pivotal moment in its data journey.

With a newly appointed Head of Commercial Insights, the organisation is rebuilding its analytics foundations from the ground up, creating real scope for you to shape how data is used across the business.The CompanyThey are a high-growth marketplace operating in the education sector, with a strong commercial focus and a growing appetite for data-driven decision making.

The business is investing heavily in its data stack, covering pipelines, data models, and BI.

Data sits at the centre of product, commercial, and operational strategy, with analytics viewed as a critical enabler of growth.The RoleYou will act as a central BI partner, owning the foundations of reporting and insight across the organisation.

Your work will span hands-on development and commercial analysis, with clear visibility and influence.Build and maintain robust data models using SQL, designed for analytics and BI consumptionDevelop automated, reliable reporting to replace manual spreadsheet-based processesCreate dashboards and self-serve analytics in Omni, focusing on meaningful commercial KPIsDeliver product and marketplace insight, including retention, lifetime value, and user behaviour analysisConduct exploratory and ad hoc analysis to uncover trends, risks, and growth opportunitiesPartner closely with senior stakeholders, translating business questions into clear analytical outputsBalance build and insight work, combining delivery with advisory input to the wider businessYour Skills and ExperienceStrong SQL skills with experience in data modelling and transformationsCommercial or product analytics experience within a BI or analytics environmentExperience working with BI tools such as Tableau, Looker, Power BI, or similarA solid understanding of KPI design, star schemas, and semantic layersConfidence working with non-technical stakeholders and challenging assumptions with dataAn adaptable mindset, comfortable operating in a scaling and evolving environment