At a Glance
- Tasks: Analyse aircraft data to enhance maintenance strategies and improve system performance.
- Company: Leading aerospace organisation with a focus on innovation and technology.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for professional growth.
- Other info: Join a dynamic team and contribute to cutting-edge aerospace projects.
- Why this job: Make a real impact in aviation by optimising aircraft health and maintenance processes.
- Qualifications: Experience with Palantir Foundry, Jupyter Notebook, and strong data analytics skills.
The predicted salary is between 104000 - 104000 € per year.
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
- 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
- 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.
Data Analyst employer: Yolk Recruitment Limited
Join a leading aerospace organisation that prioritises innovation and employee development, offering a dynamic work culture where your contributions directly impact aircraft reliability and performance. With a focus on advanced engineering and data analytics, this role provides opportunities for professional growth and collaboration with cross-functional teams in a supportive environment located in Filton. Enjoy competitive pay and the chance to work on cutting-edge projects that shape the future of aviation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the aerospace industry, especially those working with data analytics. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Palantir Foundry and Jupyter Notebooks. Having tangible examples of your data analysis and visualisation capabilities can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder management skills. Be ready to discuss how you've collaborated with technical teams in the past and how you can contribute to their predictive maintenance strategies.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Palantir Foundry, Jupyter Notebook, and any relevant data analytics skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the aerospace industry and how your skills can contribute to our predictive maintenance initiatives. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any projects related to data analytics or predictive maintenance, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Let’s get your journey started!
How to prepare for a job interview at Yolk Recruitment Limited
✨Know Your Data Tools
Make sure you brush up on your experience with Palantir Foundry and Jupyter Notebook. Be ready to discuss specific projects where you've used these tools, as they are crucial for the role. Highlight how you've translated complex datasets into actionable insights.
✨Understand the Aerospace Context
Familiarise yourself with the basics of aircraft systems and maintenance engineering. This will help you connect your data analysis skills to the specific needs of the aerospace industry. Showing that you understand the operational disruption contexts can set you apart.
✨Prepare for Stakeholder Management
Since this role involves working with various technical teams, think of examples where you've successfully managed stakeholders. Be ready to explain how you communicated complex data findings to non-technical audiences, as this is key in delivering high-impact analytical outputs.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've approached technical investigations using in-service aircraft data. Think of a specific challenge you faced and how your analytical skills helped improve system performance or maintenance decision-making. This will demonstrate your delivery-focused mindset.
