Data Analyst Permanent Location: Home / Rugby (2 - 3 days a week onsite) Salary: £35,000 - £40,000 ( benefits) Power BI, SQL, Data Modelling, Dashboard Development, Stakeholder Engagement We are looking to recruit a Data Analyst with good Power BI skills for a leading data & analytics consultancy. This is an excellent opportunity for a Power BI professional with a genuine interest and passion for data looking to take the next step in their career. This organisation partners with well-known brands to transform how they operate through modern data and visual analytics solutions. With a strong reputation for innovation and digital storytelling, they design and deliver high-impact dashboards and data platforms that genuinely influence business decisions. This is a hybrid role that requires 2 / 3 days a week onsite work in Rugby. The Role This is an opportunity to get involved in client-facing analytics projects from day one. You will work directly with stakeholders to understand business challenges and translate them into well-designed, scalable Power BI solutions. This role would suit someone with 1 -2 years' commercial Power BI experience who is confident building dashboards independently and is ready to take ownership of delivery. You will: Design and build engaging Power BI dashboards and reports Work closely with clients to gather and refine requirements Develop robust data models and ensure best practice BI architecture Write and optimise SQL queries to support reporting solutions Contribute to Azure-based data environments (desirable) Perform QA on your own work and support wider team standards Produce clear technical documentation Work within Agile / Kanban delivery frameworks You will collaborate with data engineers and software developers, contributing ideas around product improvement, usability, and emerging technologies. About You We're looking for someone who: Has 1 years of hands-on Power BI experience in a commercial environment Can confidently build dashboards end-to-end, not just maintain existing ones Has solid SQL skills and understands data modelling principles Has exposure to Azure data services (highly desirable) Understands BI best practices and performance optimisation Is comfortable working with large datasets and relational databases Communicates clearly with both technical and non-technical stakeholders Python, R, JavaScript or VBA knowledge would be beneficial but not essential.