Data Analyst

Data Analyst (Aircraft Health / Predictive Maintenance)

Location: Filton (60% onsite)

Contract: Until 31/12/2026 (possible extension)

Hours: 35 hours per week (4.5 days, flexible between 7am–7pm)

Rate: £50.00 per hour Umbrella / £37.38 per hour PAYE

Security Clearance: BPSS+ (to be completed prior to start)

IR35: Inside IR35

About the Role

Our client is seeking an experienced Data Analyst to support advanced aircraft fleet analytics, focusing on predictive maintenance and diagnostic modelling. This is a fantastic opportunity to work within a highly technical environment, contributing to improvements in fleet performance and operational efficiency.

Key Responsibilities of the Data Analyst

• Develop and enhance fleet diagnostic and predictive maintenance models
• Analyse aircraft in-service data to support technical investigations and design improvements
• Work closely with stakeholders to gather requirements and deliver data-driven studies and insights [
• Support wider data management and analytics initiatives across the business
• Improve understanding of in-service operations and system performance through data analysis

Essential Skills & Experience

• Strong experience in data analytics and data visualisation
• Experience using tools such as Jira, GitHub and Jupyter-based platforms
• Experience with Palantir Foundry (Skywise) or similar data platforms
• Ability to manage stakeholders and translate requirements into actionable insights
• Proven ability to work independently with a strong delivery focus

Desirable Experience

• Exposure to predictive maintenance frameworks and processes
• Understanding of landing gear systems (LG) or wider aircraft systems
• Experience within aerospace or similar highly regulated industries
• Knowledge of machine learning or AI techniques

If you think this could be a new and exciting career opportunity for you and you would like to learn more or just for an initial, no-obligation conversation please contact me on 07732 694 243 or you can apply directly by following the Easy Apply link and I will contact you as soon as I receive your contact details.