3 of 3 Performance Analysis Jobs in the South West

systems (including IFS Cloud), enabling smarter insights, rapid data retrieval, and improved traceability. Maintain AI agents that support internal teams, including text-analysis bots, report generators, and knowledge-retrieval tools. Data engineering & insight generation: Clean, structure, and analyse company data to support decision-making. Produce “proof packages” for customers … trial AI in simulation, predictive modelling, test scheduling, and component analysis. Work with the Quality team to automate FAI checks, SPC monitoring, supplier performance analysis, and NCR triage. Assist Production with digital work instructions, anomaly detection, and AI-supported training materials. Enterprise-level AI integration: Contribute to long ...

system providers or Application Support Leader as appropriate. Ensure effective liaison with relevant suppliers and stakeholders providing best practice advice when appropriate. Analyse performance and make recommendations for improvements to process and user controls based on analysis of data and management information. Encourage and promote best practice, particularly … organising allocation of work and tasks (independent and team tasks) focused to work to and meet deadlines. Ability to make effective use of performance analysis and monitoring. Experience of analysing procedure and system changes then implementing changes as required. Experience of Application Support in an IT environment (Desirable ...

purpose Reporting to the Lead Data Engineer, the Data Engineer is responsible for designing and maintaining scalable data pipelines, ensuring data availability, quality, and performance to support analytics and operational decision-making. They contribute to the data engineering roadmap through research, technical vision, business alignment, and prioritisation. This role … ensuring solutions align with business priorities, technical strategy, and long-term sustainability. Optimise data workflows and infrastructure, leveraging automation and best practices to improve performance, cost efficiency, and scalability. Collaborate with Data Science, Insight, and Governance teams to support data-driven decision-making, ensuring seamless integration of data across ...