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 working hours, and potential for contract extension.
- Other info: Opportunity to work in a dynamic environment with excellent career growth.
- Why this job: Make a real impact in the aerospace industry with cutting-edge data analytics.
- Qualifications: Strong data analytics experience and familiarity with tools like Jira and GitHub.
The predicted salary is between 74000 - 80000 € 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
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 on (phone number removed) 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 in Gloucester employer: Belcan
Belcan is an exceptional employer, offering a dynamic work culture that fosters 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, the company provides a supportive environment where your expertise can make a significant impact on fleet performance and operational efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Gloucester
✨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 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. We want to see how you can translate complex data into actionable insights!
✨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 in Gloucester
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 and any relevant tools you've used, like Jira or Jupyter. 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 predictive maintenance and how your background makes you a great fit. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your technical skills! If you’ve worked with Palantir Foundry or have experience in machine learning, make sure to include that. We’re keen on seeing how you can contribute to our advanced aircraft fleet analytics.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to get your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at Belcan
✨Know Your Data Tools
Make sure you’re familiar with the tools mentioned in the job description, like Jira, GitHub, and Jupyter-based platforms. Brush up on how you’ve used these tools in past projects, as this will show your practical experience and readiness for the role.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've developed predictive maintenance models or analysed data in a technical environment. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Industry
Familiarise yourself with the aerospace industry, especially around predictive maintenance frameworks and landing gear systems. This knowledge will help you connect your skills to the role and demonstrate your genuine interest in the field.
✨Engage with Stakeholders
Be ready to talk about your experience managing stakeholders and translating their requirements into actionable insights. Think of examples where you successfully collaborated with others to achieve a common goal, as this is crucial for the role.
