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Operational data analyst - aviation

Gloucester
Line Up Aviation
Data analyst
€50,000 a year
Posted: 25 May
Offer description

About the role

On behalf of our client we are seeking to recruit an Operational Data Analyst – Aviation on an initial 6‑month contract. The analyst will support the development of fleet diagnostic and predictive maintenance solutions across aircraft operations, combining aviation engineering knowledge with advanced data analytics to improve in‑service operations understanding, enhance system design and support technical investigations using aircraft fleet data. Working closely with Engineering, Design Office and operational stakeholders, the analyst will lead data‑driven studies from requirement gathering through to feasibility assessment and delivery, leveraging tools such as Skywise, Palantir Foundry, Jupyter and GitHub to generate actionable insights and support data management initiatives.


Key Details

* Pay: 50 per hour via umbrella
* Location: Filton (60% onsite after training)
* Contract: Monday – Friday, 35 hours per week, 6‑month contract
* IR35 Status: Inside
* Security Clearance: BPSS


Responsibilities

* Contribute to development of fleet diagnostic and predictive maintenance models.
* Support technical investigations with aircraft fleet data analysis.
* Perform specific data analyses for the Design Office, from gathering the need from the requestor to assessing feasibility and delivering the study.
* Use in‑service data to:
o Improve in‑service operations understanding
o Improve system design
o Support business on Data Management projects with analytics skill application


Essential Skills

* Previous experience in Predictive Maintenance and ZAOG plateau.
* Highly organised with a "delivery‑oriented" mindset and ability to work independently.
* AI Machine Learning
* Jira
* Palantir Foundry (Skywise)
* Extended platform (Jupyter)
* GitHub
* Data Analytics & Data visualisation
* Good stakeholder management
* Skywise Predictive Maintenance (SPM)
* LG System understanding
* Understanding of / experience with Manage Fleet Diagnostic and Predictive Maintenance process (SU.CP.05)
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