Data Analyst / Aircraft Health Engineer
- Data Analyst | Health Engineering | Skywise | Python | Predictive Maintenance
- £50 per hour via Umbrella
- Filton – 3 days per week on-site
- Initial contract until 31/12/2026 with likely extension
- 35 hours per week
About the Client
Our client is a global aerospace organisation at the forefront of aircraft design, engineering, and innovation. They are seeking a Data Analyst / Health Engineer to support fleet health engineering activities, using advanced analytics and predictive maintenance techniques to improve aircraft performance, reliability, and operational efficiency.
This is an exciting opportunity to work with cutting‑edge aviation data platforms, contributing directly to the development of diagnostic and predictive maintenance capabilities across a large commercial aircraft fleet.
The Data Analyst Role
As a Data Analyst / Health Engineer, you will support the development of fleet diagnostic and predictive maintenance models, leveraging operational aircraft data to identify trends, investigate issues, and drive engineering improvements.
Working closely with Design Office teams, systems engineers, and operational stakeholders, you will gather requirements, assess analytical feasibility, and deliver data‑driven insights that improve fleet operations, aircraft system design, and maintenance strategies.
You will utilise platforms such as Skywise, Jupyter, and GitHub to perform advanced analytics and visualisation activities while supporting broader data management and predictive maintenance initiatives.
Data Analyst Essential Skills
- Strong experience in Data Analytics and Data Visualisation
- Experience using Palantir Foundry (Skywise)
- Experience working with Python and Jupyter Notebook environments
- Strong GitHub experience
- Jira experience
- Ability to perform complex data analysis and communicate findings effectively
Desirable Skills
- Experience with Skywise Predictive Maintenance (SPM) Predictive Maintenance experience
- AI and Machine Learning experience
- Understanding of fleet diagnostics and health monitoring
- Experience supporting Aircraft On Ground (AOG/ZAOG) investigations
- Knowledge of fleet diagnostic and predictive maintenance processes
- Aircraft systems engineering understanding
- Landing Gear systems knowledge
- Aircraft product knowledge
- Experience working within aerospace engineering environments
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