At a Glance
- Tasks: Analyse aircraft data and develop predictive maintenance models to enhance fleet performance.
- Company: Join a leading aerospace company focused on innovation and efficiency.
- Benefits: Competitive hourly rate, flexible hours, and potential for contract extension.
- Other info: Opportunity for career growth in a highly technical and regulated environment.
- Why this job: Make a real impact in the aerospace industry with cutting-edge data analytics.
- Qualifications: Strong data analytics skills and experience with tools like Jira and GitHub.
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
If you think this could be a new and exciting career opportunity for you and you would like to learn more or just for an initial, no-obligation conversation please contact me or you can apply directly by following the Easy Apply link and I will contact you as soon as I receive your contact details.
This vacancy is being advertised by Belcan.
Data Analyst employer: Belcan
Belcan is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the aerospace sector. With flexible working hours and opportunities for professional growth, employees are encouraged to develop their skills while contributing to cutting-edge projects in predictive maintenance and aircraft analytics. Located in Filton, this role provides a unique chance to be part of a highly technical environment, making a tangible impact on fleet performance and operational efficiency.
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 predictive maintenance. 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 data analytics projects, especially any related to aircraft systems or predictive maintenance. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with tools like Jira, GitHub, and Jupyter. We want to see how you can apply your skills to real-world problems!
✨Tip Number 4
Don't forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
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 in data analytics, especially with predictive maintenance and diagnostic modelling. We want to see how your skills align with what we're looking for!
Showcase Your 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 that clear! We love seeing familiarity with the tech we use.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a straightforward approach!
Apply Through Our Website:Don't forget to apply through our website! It’s the easiest way for us to receive your application and get in touch. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Belcan
✨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 any experience in this area, be prepared to share examples of how you've applied these concepts in previous roles.
✨Stakeholder Management is Key
Since the role involves working closely with stakeholders, think about times when you've successfully gathered requirements and translated them into actionable insights. Have a couple of solid examples ready to showcase your communication skills.
✨Show Your Independent Work Ethic
This position requires a strong delivery focus and the ability to work independently. Prepare to discuss how you've managed projects on your own, highlighting your problem-solving skills and ability to meet deadlines.
