At a Glance
- Tasks: Analyse aircraft data to enhance maintenance solutions and improve operations.
- Company: Join a leading aviation recruitment firm with over 30 years of experience.
- Benefits: Competitive pay at £50 per hour, flexible work arrangements, and professional growth.
- Other info: Dynamic role with opportunities for career advancement in the aviation sector.
- Why this job: Make a real impact in aviation by leveraging data analytics for fleet performance.
- Qualifications: Experience in predictive maintenance and strong data analysis skills required.
The predicted salary is between 42000 - 49000 € per year.
On behalf of our client, we are seeking to recruit a Operational Data Analyst - Aviation on an initial 6-month contract. As the Operational Data Analyst - Aviation, you will support the development of fleet diagnostic and predictive maintenance solutions across our aircraft operations. This role combines aviation engineering knowledge with advanced data analytics to improve in-service operations understanding, enhance system design, and support technical investigations using aircraft fleet data.
Working closely with Engineering, Design Office, and operational stakeholders, you will lead data-driven studies from requirement gathering through to feasibility assessment and delivery, leveraging tools such as Skywise, Palantir Foundry, Jupyter, and GitHub to generate actionable insights and support data management initiatives.
Responsibilities:
- Contribute to development of the fleet diagnostic and predictive maintenance models.
- Support technical investigations with aircraft fleet data analysis.
- Perform specific data analyses for the Design Office, starting from gathering the need from the requestor, to assessing the feasibility and delivering the study.
- Use in-service data in order to:
- Improve in-service operations understanding.
- Improve system design.
- Support business on Data Management projects with analytics skill application.
Essential Skills:
- Previous experience in Predictive Maintenance and ZAOG plateau.
- Highly organized with a 'delivery-oriented' mindset and the ability to work independently.
- AI Machine Learning.
- Jira.
- Palantir Foundry (Skywise).
- Extended platform (Jupyter).
- Github.
- Data Analytics & Data visualisation.
- Good stakeholder management.
- Skywise Predictive Maintenance (SPM).
- LG System understanding.
- Understanding of / experience with Manage Fleet Diagnostic and Predictive Maintenance process (SU.CP.05).
If you are interested in applying for this position and you meet the requirements, please send your updated CV to: Natalie Dalkin at Line Up Aviation.
Operational Data Analyst - Aviation employer: Line Up Aviation
At Line Up Aviation, we pride ourselves on being an exceptional employer in the aviation sector, offering a dynamic work environment that fosters innovation and collaboration. Our Filton location provides employees with access to cutting-edge technology and a supportive culture that encourages professional growth through hands-on experience and continuous learning opportunities. Join us to be part of a team that values your contributions and is dedicated to advancing the future of aviation.
StudySmarter Expert Advice🤫
We think this is how you could land Operational Data Analyst - Aviation
✨Tip Number 1
Network like a pro! Reach out to people in the aviation industry, especially those who work with data analytics. A friendly 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 those related to predictive maintenance. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and tools like Skywise and Palantir Foundry. Be ready to discuss how you've used these in past projects or how you would apply them in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Operational Data Analyst - Aviation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Operational Data Analyst role. Highlight your experience with predictive maintenance and data analytics tools like Skywise and Palantir Foundry. We want to see how your skills match what we're looking for!
Showcase Relevant Experience:When writing your application, focus on your previous experience in aviation engineering and data analysis. Use specific examples that demonstrate your ability to improve operations and support technical investigations. This will help us see your potential impact!
Be Clear and Concise:Keep your application clear and to the point. Avoid jargon unless it's relevant to the role. We appreciate straightforward communication, so make it easy for us to understand your qualifications and enthusiasm for the position.
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Line Up Aviation
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like Skywise, Palantir Foundry, and Jupyter. Be ready to discuss how you've used these tools in past projects or how you would apply them to the role.
✨Showcase Your Predictive Maintenance Experience
Prepare specific examples of your previous work in predictive maintenance. Highlight any successful projects where your data analysis led to improved operations or system design, as this will resonate well with the interviewers.
✨Understand Stakeholder Management
Since you'll be working closely with various teams, brush up on your stakeholder management skills. Think of instances where you've effectively gathered requirements or communicated findings to non-technical stakeholders.
✨Demonstrate a Delivery-Oriented Mindset
Emphasise your ability to work independently and deliver results. Prepare to discuss how you prioritise tasks and manage your time effectively, especially when working on multiple data-driven studies.
