At a Glance
- Tasks: Analyse aircraft data to enhance performance and reliability using advanced analytics.
- Company: Leading global aerospace organisation driving innovation in aircraft design.
- Benefits: Competitive pay, flexible work schedule, and potential for contract extension.
- Other info: Exciting opportunity for career growth in the aerospace industry.
- Why this job: Join a cutting-edge team and make a real impact on aviation technology.
- Qualifications: Strong data analytics skills, experience with Python, and familiarity with Skywise.
The predicted salary is between 42000 - 52000 £ per year.
Data Analyst | Health Engineering | Skywise | Python | Predictive Maintenance
£50 per hour via Umbrella
Filton – 3 days per week on-site
Initial contract until 31/12/2026 with likely extension
35 hours per week
About the Client
Our client is a global aerospace organisation at the forefront of aircraft design, engineering, and innovation. They are seeking a Data Analyst / Health Engineer to support fleet health engineering activities, using advanced analytics and predictive maintenance techniques to improve aircraft performance, reliability, and operational efficiency. This is an exciting opportunity to work with cutting‑edge aviation data platforms, contributing directly to the development of diagnostic and predictive maintenance capabilities across a large commercial aircraft fleet.
The Data Analyst Role
As a Data Analyst / Health Engineer, you will support the development of fleet diagnostic and predictive maintenance models, leveraging operational aircraft data to identify trends, investigate issues, and drive engineering improvements. Working closely with Design Office teams, systems engineers, and operational stakeholders, you will gather requirements, assess analytical feasibility, and deliver data‑driven insights that improve fleet operations, aircraft system design, and maintenance strategies. You will utilise platforms such as Skywise, Jupyter, and GitHub to perform advanced analytics and visualisation activities while supporting broader data management and predictive maintenance initiatives.
Data Analyst Essential Skills
- Strong experience in Data Analytics and Data Visualisation
- Experience using Palantir Foundry (Skywise)
- Experience working with Python and Jupyter Notebook environments
- Strong GitHub experience
- Jira experience
- Ability to perform complex data analysis and communicate findings effectively
Desirable Skills
- Experience with Skywise Predictive Maintenance (SPM)
- Predictive Maintenance experience
- AI and Machine Learning experience
- Understanding of fleet diagnostics and health monitoring
- Experience supporting Aircraft On Ground (AOG/ZAOG) investigations
- Knowledge of fleet diagnostic and predictive maintenance processes
- Aircraft systems engineering understanding
- Landing Gear systems knowledge
- Aircraft product knowledge
- Experience working within aerospace engineering environments
Data Analyst (Aircraft Health Engineer) in Bristol employer: Searchability
Join a leading global aerospace organisation that champions innovation and excellence in aircraft design and engineering. As a Data Analyst / Aircraft Health Engineer, you will thrive in a collaborative work culture that prioritises employee growth and development, offering opportunities to work with cutting-edge technology and contribute to significant advancements in aviation. Located in Filton, you will enjoy a flexible work schedule with three days on-site, allowing for a balanced professional and personal life while being part of a team dedicated to enhancing aircraft performance and reliability.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Aircraft Health Engineer) in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the aerospace industry, especially those working with data analytics. Attend meetups or webinars related to aircraft health engineering and make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python and Jupyter. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on predictive maintenance concepts and aircraft systems. Be ready to discuss how your experience aligns with the role and how you can leverage platforms like Skywise to drive improvements.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Analyst (Aircraft Health Engineer) in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data analytics and visualisation, especially with tools like Python and Jupyter. We want to see how your skills align with the role of a Data Analyst / Health Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about working in aerospace and how your background fits the job. We love seeing passion and enthusiasm, so let us know what makes you tick!
Showcase Your Technical Skills:Don’t forget to mention your experience with platforms like Skywise and GitHub. We’re looking for someone who can hit the ground running, so highlight any specific projects or achievements that demonstrate your technical prowess.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Searchability
✨Know Your Data Tools
Make sure you brush up on your experience with Python, Jupyter, and Skywise. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Understand Predictive Maintenance
Familiarise yourself with predictive maintenance concepts and how they apply to aircraft health engineering. Prepare to explain how you've used data analytics to drive improvements in operational efficiency or reliability in past roles.
✨Communicate Clearly
Practice explaining complex data findings in a straightforward manner. The interviewers will want to see that you can communicate effectively with both technical and non-technical stakeholders, so think of examples where you've done this successfully.
✨Show Your Team Spirit
This role involves working closely with various teams, so be prepared to discuss your collaborative experiences. Highlight times when you gathered requirements or worked with design office teams to deliver data-driven insights that made a difference.
