At a Glance
- Tasks: Analyse aircraft data to enhance predictive maintenance and improve system performance.
- Company: Leading aerospace organisation with a focus on innovation and advanced engineering.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team and contribute to cutting-edge aerospace technology.
- Why this job: Make a real impact in aviation by optimising aircraft health monitoring.
- 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
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.
Data Analyst employer: Meritus
Join a leading aerospace organisation that prioritises innovation and employee development, offering a dynamic work culture where your contributions directly impact aircraft health monitoring and predictive maintenance strategies. With a focus on advanced engineering and data analytics, this role provides opportunities for professional growth while working alongside talented teams in a collaborative environment. Located in Filton, enjoy the benefits of a supportive workplace that values your expertise and fosters meaningful career advancement.
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. Attend relevant meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving predictive maintenance or fleet diagnostics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've used tools like Palantir Foundry or Jupyter Notebook in past projects, and don’t forget to highlight your stakeholder management experience!
✨Tip Number 4
Apply through our website! We’ve got 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 projects that showcase your 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 concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to highlight your technical skills in your application. Mention your experience with Jira, GitHub, and any machine learning or AI projects you've worked on. We’re looking for candidates who can hit the ground running!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Meritus
✨Know Your Data Tools
Make sure you brush up on your experience with Palantir Foundry and Skywise. Be ready to discuss specific projects where you've used these tools, as well as how they helped you derive insights from complex datasets.
✨Showcase Your Analytical Skills
Prepare to talk about your experience with Jupyter Notebooks and how you've used them for data analysis and visualisation. Bring examples of structured data studies you've delivered and the impact they had on engineering decisions.
✨Understand the Aerospace Context
Familiarise yourself with aircraft systems and maintenance engineering concepts. Being able to relate your data analysis skills to real-world applications in fleet diagnostics or predictive maintenance will set you apart.
✨Engage with Stakeholders
Demonstrate your confident stakeholder management skills by preparing examples of how you've collaborated with technical teams. Highlight your delivery-focused approach and how you’ve independently driven projects to success.
