Operational Data Analyst - Aviation in Gloucester

Operational Data Analyst - Aviation in Gloucester

Gloucester Temporary 35000 - 45000 € / year (est.) Home office (partial)
Line Up Aviation

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, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic role with potential for career advancement in the aviation industry.
  • 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 35000 - 45000 € 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 in Gloucester employer: Line Up Aviation

At Line Up Aviation, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the aviation sector. Our commitment to employee growth is evident through our supportive culture and opportunities for professional development, particularly in data analytics and predictive maintenance. Located in Filton, our team enjoys a blend of onsite and flexible working arrangements, ensuring a balanced approach to work and life while contributing to cutting-edge aviation solutions.

Line Up Aviation

Contact Detail:

Line Up Aviation Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Operational Data Analyst - Aviation in Gloucester

✨Tip Number 1

Network like a pro! Reach out to folks in the aviation industry, especially those who work with data analytics. 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 analysis projects, especially those related to predictive maintenance. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨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 Jupyter and GitHub in past projects. Confidence is key, so practice makes perfect!

✨Tip Number 4

Don't forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!

We think you need these skills to ace Operational Data Analyst - Aviation in Gloucester

Predictive Maintenance
Data Analytics
Data Visualisation
AI Machine Learning
Skywise
Palantir Foundry
Jupyter

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, and don’t forget to mention any tools like Skywise or Jupyter that you’ve used.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your aviation engineering knowledge and how it complements your data analysis skills.

Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. Whether it's a predictive maintenance model or a data visualisation project, we want to see what you've done!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!

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

Brush up on your stakeholder management skills. Think of instances where you effectively gathered requirements from different teams and how you communicated your findings. This will demonstrate your ability to collaborate across departments.

✨Be Delivery-Oriented

Emphasise your delivery-oriented mindset during the interview. Share examples of how you've managed your time and resources to meet deadlines, especially in high-pressure environments like aviation. This will show that you're a proactive candidate who can handle the demands of the role.