At a Glance
- Tasks: Analyse aircraft data to enhance predictive maintenance and improve fleet performance.
- Company: Join a leading aerospace company focused on innovation and efficiency.
- Benefits: Competitive hourly rate, flexible hours, and potential contract extension.
- Other info: Work in a dynamic environment with opportunities for professional growth.
- Why this job: Make a real impact in aviation by optimising aircraft operations with data.
- Qualifications: Strong data analytics skills and experience with tools like Jira and GitHub.
The predicted salary is between 100000 - 100000 £ per year.
Location: Filton (60% onsite)
Contract: Until 31/12/2026 (possible extension)
Hours: 35 hours per week (4.5 days, flexible between 7am-7pm)
Rate: 50.00 per hour Umbrella / 37.38 per hour PAYE
Security Clearance: BPSS+ (to be completed prior to start)
IR35: Inside IR35
About the Role
Our client is seeking an experienced Data Analyst to support advanced aircraft fleet analytics, focusing on predictive maintenance and diagnostic modelling. This is a fantastic opportunity to work within a highly technical environment, contributing to improvements in fleet performance and operational efficiency.
Key Responsibilities of the Data Analyst
- Develop and enhance fleet diagnostic and predictive maintenance models
- Analyse aircraft in-service data to support technical investigations and design improvements
- Work closely with stakeholders to gather requirements and deliver data-driven studies and insights
- Support wider data management and analytics initiatives across the business
- Improve understanding of in-service operations and system performance through data analysis
Essential Skills & Experience
- Strong experience in data analytics and data visualisation
- Experience using tools such as Jira, GitHub and Jupyter-based platforms
- Experience with Palantir Foundry (Skywise) or similar data platforms
- Ability to manage stakeholders and translate requirements into actionable insights
- Proven ability to work independently with a strong delivery focus
Desirable Experience
- Exposure to predictive maintenance frameworks and processes
- Understanding of landing gear systems (LG) or wider aircraft systems
- Experience within aerospace or similar highly regulated industries
- Knowledge of machine learning or AI techniques
Data Analyst for Aircraft Health and Predictive Maintenance. Job in Filton LilyLifestyle Jobs in Bristol employer: United Cerebral Palsy of Georgia
Join a forward-thinking team in Filton as a Data Analyst, where you will play a crucial role in enhancing aircraft fleet performance through advanced analytics. Our company fosters a collaborative work culture that values innovation and flexibility, offering 35 hours per week with the option for a 4.5-day work schedule. With opportunities for professional growth and development in a highly technical environment, this position is perfect for those looking to make a meaningful impact in the aerospace industry.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst for Aircraft Health and Predictive Maintenance. Job in Filton LilyLifestyle Jobs in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the aerospace industry, especially those who work with data analytics. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially any predictive maintenance models you've worked on. 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 Jira and GitHub in past projects, and don’t forget to highlight your ability to manage stakeholders!
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Data Analyst for Aircraft Health and Predictive Maintenance. 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 role. Highlight your experience in data analytics, especially with predictive maintenance and diagnostic modelling. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about aircraft health and how your background makes you a great fit for this role. Keep it concise but impactful – we love a good story!
Showcase Relevant Tools:Mention your experience with tools like Jira, GitHub, and Jupyter-based platforms. If you've worked with Palantir Foundry or similar data platforms, make sure to highlight that too. We’re keen on seeing your technical prowess!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. 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 data analytics tools like Jira, GitHub, and Jupyter-based platforms. Be ready to discuss specific projects where you've used these tools to derive insights or solve problems.
✨Understand Predictive Maintenance
Familiarise yourself with predictive maintenance frameworks and processes. If you have experience with aircraft systems, especially landing gear systems, be prepared to share how that knowledge can contribute to the role.
✨Stakeholder Management is Key
Think about examples where you've successfully managed stakeholders and translated their requirements into actionable insights. This will show your ability to work collaboratively and deliver results.
✨Showcase Your Independent Work Ethic
Prepare to discuss instances where you've worked independently with a strong delivery focus. Highlight how you approached challenges and what outcomes you achieved, as this will demonstrate your capability to thrive in a technical environment.
