About
A leading aerospace organisation is seeking a Data Analyst / Health Engineer to support the development of fleet diagnostic and predictive maintenance capability across a global aircraft in service environment.
This role sits within an advanced engineering and data function, working directly with aircraft operational data to improve reliability, system performance and maintenance decision making.
The successful candidate will work across engineering, design and fleet support teams to deliver high impact analytical outputs that directly influence aircraft health monitoring and predictive maintenance strategy.
Key Responsibilities: * Contribute to development of fleet diagnostic and predictive maintenance models * Support technical investigations using in service aircraft data * Deliver structured data studies for engineering and design office stakeholders * Translate complex operational datasets into actionable engineering insight * Support wider data management and analytics transformation initiatives * Improve understanding of in service fleet behaviour and system performance
Essential Skills & Experience: * Strong experience with Palantir Foundry / Skywise * Advanced Jupyter Notebook capability * Jira and Github in engineering or data driven environments * Strong data analytics and visualisation capability * Confident stakeholder management across technical teams * Delivery focused, independent working style
Desirable Experience: * Skywise Predictive Maintenance (SPM) * Aircraft systems or maintenance engineering understanding * Experience in fleet diagnostics or predictive maintenance environments * Exposure to AOG / operational disruption contexts * Familiarity with structured maintenance processes and reliability frameworks * Machine learning or AI applied to engineering datasets
This is a high impact opportunity within a leading aerospace environment, contributing directly to the evolution of predictive maintenance capability on in service aircraft.
Confidential discussions available for suitably experienced candidates
Languages
- English
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