At a Glance
- Tasks: Analyse aircraft health data and collaborate on innovative aerospace projects.
- Company: Leading aerospace company focused on technology and excellence.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Join a dynamic team with exciting projects and career advancement potential.
- Why this job: Make a real impact in aviation by shaping data-driven decisions.
- Qualifications: Experience in data analysis, proficiency in Python, and knowledge of aircraft systems.
The predicted salary is between 40000 - 52000 € per year.
We are seeking an experienced Data Analyst to join our client on a contract basis, supporting critical aerospace projects. This is an exceptional opportunity to contribute to innovative initiatives within the aerospace industry, renowned for its technology-driven environment and commitment to excellence.
The successful candidate will play a vital part in shaping data-driven decision-making processes that impact aircraft safety, efficiency, and operational excellence.
Key Responsibilities- Analyse aircraft health data utilizing Skywise and Python tools to identify trends and insights.
- Collaborate with Systems Engineering teams to interpret and enhance aircraft system performance.
- Support health engineering activities related to aircraft lifecycle management.
- Use in-service data to improve in-service operations understanding and system design.
- Contribute to the development of fleet diagnostic and predictive maintenance models.
- Support technical investigations with aircraft fleet data analysis.
- Proven experience in data analysis within the aerospace sector or similar high-technology environment.
- Proficiency in Python programming for data manipulation and analysis.
- Practical knowledge of Skywise or comparable aviation data platforms.
- Strong understanding of aircraft systems and health engineering principles.
- Ability to interpret complex data sets into actionable insights.
- Experience with Jira, Palantir Foundry (Skywise), Extended Platform (Jupyter), Github.
- Data Analytics & Data Visualisation skills.
- Good stakeholder management skills.
- Knowledge of Skywise Predictive Maintenance (SPM).
- LG System understanding.
- Experience with Manage Fleet Diagnostic and Predictive Maintenance process (SU.CP.05).
- Previous experience in Predictive Maintenance and ZAOG plateau.
- Familiarity with AI and Machine Learning techniques.
- Highly organised, delivery-oriented, and capable of working independently.
If you are looking to apply data analytics within a dynamic aerospace setting and are eager to make a tangible impact, we invite you to submit your CV for consideration. This role offers the chance to work on innovative projects in a forward-thinking organisation committed to technological advancement and professional development.
Data Analyst in Bath employer: IO Associates
Join a forward-thinking organisation in Filton, UK, where as a Data Analyst, you will be at the forefront of innovative aerospace projects that prioritise technology and excellence. With a strong commitment to employee growth, this hybrid role offers competitive pay and the opportunity to work collaboratively with talented professionals, ensuring your contributions directly enhance aircraft safety and operational efficiency. Experience a dynamic work culture that values data-driven decision-making and fosters professional development in a high-tech environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Bath
✨Network Like a Pro
Get out there and connect with people in the aerospace industry! Attend meetups, webinars, or even just chat with folks on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you get the chance to interview, make sure to highlight your experience with Python and data analysis. Bring examples of how you've used these skills to solve real problems, especially in high-tech environments like aerospace. We want to see your impact!
✨Tailor Your Approach
Don’t just apply to every job under the sun. Focus on roles that match your skills and interests, like this Data Analyst position. Customise your pitch to show how your background aligns with the company's needs and values. It makes a difference!
✨Apply Through Our Website
We’ve got a streamlined application process on our website, so make sure to use it! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our innovative team.
We think you need these skills to ace Data Analyst in Bath
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data analysis, especially within the aerospace sector. We want to see how your skills with Python and Skywise can shine through!
Showcase Relevant Projects:Include specific examples of projects where you've used data to drive decisions or improve operations. This helps us understand your hands-on experience and how you can contribute to our innovative initiatives.
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language and bullet points to make it easy for us to see your qualifications at a glance.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at IO Associates
✨Know Your Data Tools
Make sure you brush up on your Python skills and get familiar with Skywise. Be ready to discuss how you've used these tools in past projects, especially in the aerospace sector. Highlight specific examples where your analysis led to actionable insights.
✨Understand the Aerospace Context
Dive deep into the aerospace industry and understand the key challenges it faces. Familiarise yourself with aircraft systems and health engineering principles. This knowledge will help you connect your skills to the role and show that you're not just a data analyst, but one who understands the bigger picture.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and visualisation. Brush up on your experience with tools like Jira, Palantir Foundry, and Jupyter. Be prepared to explain how you've used these platforms to solve real-world problems in your previous roles.
✨Showcase Your Stakeholder Management Skills
Since this role involves collaboration with Systems Engineering teams, be ready to discuss your experience in stakeholder management. Share examples of how you've effectively communicated complex data insights to non-technical stakeholders, ensuring everyone is on the same page.
