At a Glance
- Tasks: Analyse aircraft data to enhance maintenance strategies and system performance.
- Company: Leading aerospace organisation focused on innovation and reliability.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Join a dynamic team in a cutting-edge engineering environment.
- Why this job: Make a real impact on aviation safety and efficiency through data analysis.
- Qualifications: Experience with Palantir Foundry, Jupyter Notebook, and data analytics tools.
The predicted salary is between 104000 - 104000 £ per year.
A leading aerospace organisation is seeking a Data Analyst / Health Engineer to support the development of fleet diagnostic and predictive maintenance capability across a global aircraft in service environment. This role sits within an advanced engineering and data function, working directly with aircraft operational data to improve reliability, system performance and maintenance decision making. The successful candidate will work across engineering, design and fleet support teams to deliver high impact analytical outputs that directly influence aircraft health monitoring and predictive maintenance strategy.
Key Responsibilities:
- Contribute to development of fleet diagnostic and predictive maintenance models
- Support technical investigations using in service aircraft data
- Deliver structured data studies for engineering and design office stakeholders
- Translate complex operational datasets into actionable engineering insight
- Support wider data management and analytics transformation initiatives
- Improve understanding of in service fleet behaviour and system performance
Essential Skills & Experience:
- Strong experience with Palantir Foundry / Skywise
- Advanced Jupyter Notebook capability
- Jira and Github in engineering or data driven environments
- Strong data analytics and visualisation skills
Data Analyst in Bristol employer: Yolk Recruitment
As a leading aerospace organisation, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Data Analysts to make significant contributions to aircraft health monitoring and predictive maintenance strategies. Located in Filton, our team enjoys a dynamic environment with opportunities for professional growth, supported by cutting-edge technology and a commitment to employee development. Join us to be part of a forward-thinking team where your analytical skills will directly impact the future of aviation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the aerospace industry, especially those working as Data Analysts. Use LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Palantir Foundry or Jupyter Notebooks. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss how you've used data analytics to solve real-world problems, particularly in engineering contexts. Practice common interview questions related to predictive maintenance and fleet diagnostics.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s get you that Data Analyst role!
We think you need these skills to ace Data Analyst in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Palantir Foundry, Jupyter Notebook, and any relevant projects that showcase your data analytics skills. We want to see how your background aligns with 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 the role and how your skills can contribute to our team. Be specific about your experience with predictive maintenance and data analysis – we love details!
Showcase Your Technical Skills:Don’t forget to highlight your technical skills in your application. Mention your familiarity with tools like Jira and GitHub, and any projects where you've used these in engineering or data-driven environments. We’re keen on seeing how you can bring value to our advanced engineering function!
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 important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Yolk Recruitment
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Palantir Foundry and Jupyter Notebook. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Prepare Real-World Examples
Think of specific instances where you've contributed to data analytics or predictive maintenance. Be ready to share how your insights led to improvements in system performance or decision-making.
✨Understand the Industry Context
Familiarise yourself with the aerospace sector and its challenges. Knowing how data analytics impacts aircraft health monitoring will show your genuine interest and help you stand out.
✨Practice Your Communication Skills
Since you'll be translating complex datasets into actionable insights, practice explaining technical concepts in simple terms. This will demonstrate your ability to communicate effectively with engineering and design teams.
