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 improving aircraft reliability and maintenance processes.
- Qualifications: Experience with data analytics tools and strong problem-solving skills.
The predicted salary is between 3000 - 4000 £ per month.
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
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 / Health Engineer. Job in Filton LilyLifestyle Jobs in Bristol employer: United Cerebral Palsy of Georgia
Join a leading aerospace organisation in Filton, where you will be part of an innovative team dedicated to enhancing aircraft reliability and performance. With a strong focus on employee growth, this company offers a collaborative work culture that encourages professional development through hands-on experience with cutting-edge data analytics tools. Enjoy the unique advantage of working in a dynamic environment that directly influences the future of aviation technology while benefiting from competitive remuneration and a supportive team atmosphere.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst / Health Engineer. Job in Filton LilyLifestyle Jobs in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the aerospace industry, especially those working with data analytics. A casual chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially any work related to predictive maintenance or fleet diagnostics. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Palantir Foundry and Jupyter Notebook. Be ready to discuss how you've used these tools in past projects to solve real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst / Health Engineer. Job in Filton LilyLifestyle Jobs in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst / Health Engineer role. Highlight your experience with Palantir Foundry, Jupyter Notebook, and any relevant data analytics skills. We want to see how your background aligns with the key responsibilities listed in the job description.
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 fleet diagnostics and predictive maintenance. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects:If you've worked on projects that involved data analytics or predictive maintenance, make sure to mention them. We’re interested in seeing how you’ve applied your skills in real-world scenarios, especially if they relate to aircraft systems or maintenance engineering.
Apply Through Our Website:We encourage you to apply through our website for a smoother application 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 United Cerebral Palsy of Georgia
✨Know Your Data Tools
Make sure you brush up on your experience with Palantir Foundry, Skywise, and Jupyter Notebook. Be ready to discuss specific projects where you've used these tools to analyse data or improve processes. This will show that you're not just familiar with the software, but that you can leverage it effectively in real-world scenarios.
✨Understand the Aerospace Context
Familiarise yourself with the aerospace industry, particularly around fleet diagnostics and predictive maintenance. Research how data analytics is applied in this field and be prepared to discuss how your skills can contribute to improving aircraft health monitoring and system performance.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and engineering principles. Brush up on your knowledge of machine learning and AI applications in engineering datasets. Being able to articulate your thought process and problem-solving approach will impress the interviewers.
✨Showcase Your Collaborative Spirit
This role involves working across various teams, so highlight your experience in collaborative environments. Share examples of how you've successfully worked with engineering, design, or fleet support teams to deliver impactful analytical outputs. This will demonstrate your ability to communicate and work well with others.
