Business Analyst

Job Title: Business Analyst (Engineering)Location: Swindon (On-Site 4 Days Per Week)Salary: £50,000 - £60,000 (Depending on Experience) Note: Only candidates with permanent, unrestricted UK working rights will be considered, as visa sponsorship is not offered for this position. Overview: On behalf of a client in the Swindon who have a diverse range of Electronic Projects and Products, Zenovo are looking for an experienced Business Analyst to drive business optimisation, AI adoption and operational efficiency through data-led decision-making across multiple departments.Alongside core analysis responsibilities, the role will support Business Development activities, including trade shows, pipeline reporting, and market and competitor analysis.This is a great opportunity for someone who thrives in a cross-functional environment and is passionate about using data, automation and strategic insight to improve both operational performance and commercial outcomes.Key Responsibilities: - Analyse and improve processes across Project Management, Quality, Engineering and Operations.- Identify inefficiencies and implement automation opportunities, including AI based solutions- Evaluate emerging technologies to ensure alignment with business priorities- Collect, analyse and interpret data to support strategic decision-making.- Develop and maintain dashboards and reports (e.g. Power BI), translating insights into actionable recommendations.- Support project planning, requirements gathering, stakeholder engagement and user acceptance testing.- Ensure solutions are delivered on time, meet business needs and are embedded effectively.- Conduct market research, technology trend analysis and competitor benchmarking.- Contribute to trade shows, conferences and customer events, capturing insights to inform commercial strategy.Key Skills & Experience Required: - 3+ years experience working as a Business Analyst within cross-functional teams and collaborative environments.- Strong understanding of business process modelling techniques and continuous improvement methodologies.- Practical, hands-on experience with AI tools, automation solutions, and data visualisation platforms.- Strong technical proficiency in tools such as SQL, Excel, and Business Intelligence (BI) systems.- Outstanding communication abilities with proven stakeholder engagement and relationship management skills.- Self-motivated professional capable of working independently while effectively managing multiple priorities and deadlines.