Salary: £30,000 - 55,000 per year Requirements: We require experience with Jira, Palantir Foundry (Skywise), Jupyter Extended Platform, and GitHub. We require strong data analytics and data visualisation capabilities. We require excellent stakeholder management and communication skills. We require knowledge of Skywise Predictive Maintenance (SPM) and LG systems. We require an understanding of, or experience with, Fleet Diagnostic and Predictive Maintenance processes (SU.CP.05). We require previous experience within Predictive Maintenance and ZAOG environments. We require a highly organised, delivery-focused mindset and the ability to work independently. We require exposure to AI and Machine Learning technologies. We require candidates to be able to work onsite three days per week in Filton. Responsibilities: We contribute to the development of fleet diagnostic and predictive maintenance models. We support technical investigations using aircraft fleet data analysis. We perform specific data analyses for the Design Office, from gathering the requestors needs through to feasibility assessment and study delivery. We use in-service data to improve understanding of in-service operations and improve system design. We support business data management projects by applying our analytics skills. Technologies: AI GitHub Support JIRA Jupyter Machine Learning Marketing More: We are hiring a Data Analyst based in Filton on an initial contract running until the end of the year. This role requires onsite working three days per week. We work with businesses across the UK in Finance, Marketing, IT and Engineering, and we focus on finding the right people for roles where they can make an impact and grow their careers. We offer the opportunity to contribute to important fleet diagnostic, predictive maintenance, and data management work within a collaborative environment. last updated 24 week of 2026