> Markdown version of [/jobs/ext/4555320-bi-analyst](https://www.wearedevelopers.com/jobs/ext/4555320-bi-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # BI Analyst - **Company:** Harnham - **Location:** London, UK - **Experience:** Expert - **Salary:** £40,000.0 - £44,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Data Warehousing, Power BI, SQL Databases, Systems Integration, Data Management, Data Delivery - **Published:** November 4, 2026 - **Apply:** https://www.reed.co.uk/jobs/bi-analyst/57522474 ## About the Role The ideal candidate will have the following skills and experience: * Strong SQL development and data management experience * Advanced Power BI skills including data modelling and dashboard development * Strong Excel capabilities * Experience building and maintaining automated data processes * Experience integrating and managing multiple datasets * Knowledge of data quality, validation, and documentation best practices * Ability to work independently and take ownership of technical delivery * Strong stakeholder management and communication skills, * Analytical Thinking * Business Intelligence * Communication Skills * Dashboard Design & Development * Data Analysis * Data Warehousing * Microsoft Excel * Power BI * SQL Databases * Stakeholder Management ## Description The BI Analyst will: * Manage, maintain, and enhance core business datasets * Build and optimise SQL-based data processes and workflows * Integrate data from multiple internal and external sources * Develop, maintain, and improve Power BI reporting solutions * Automate manual reporting and data delivery processes * Support stakeholders who utilise both Power BI and Excel-based outputs * Design scalable, reliable, and well-documented data processes * Implement data quality, validation, and governance procedures * Identify opportunities to improve systems, infrastructure, and operational efficiency * Explore AI and machine learning applications to enhance data processes and automation * Collaborate with Product, Commercial, Programme, and leadership teams to support business decision-making * Present insights and technical concepts clearly to both technical and non-technical stakeholders