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.
Locations
Data Analyst in Newport, Wales 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 Newport, Wales
✨Tip Number 1
Network like a pro! Reach out to folks in the aerospace industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Data Analyst gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python and Skywise. We want to see how you turn complex data into actionable insights, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of aircraft systems and health engineering principles. We recommend practising common interview questions related to data analytics and being ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates eager to make an impact in the aerospace sector.
We think you need these skills to ace Data Analyst in Newport, Wales
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 analytics to drive decisions or improve processes. This helps us understand your hands-on experience and how you can contribute to our innovative initiatives.
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate clarity as much as complexity!
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. Showing that you can manipulate and analyse data effectively will impress the interviewers.
✨Understand Aircraft Systems
Dive deep into the principles of aircraft systems and health engineering. Be prepared to explain how your analysis has contributed to improving aircraft performance or safety. This knowledge will demonstrate your capability to interpret complex data sets into actionable insights.
✨Showcase Your Collaboration Skills
Since you'll be working closely with Systems Engineering teams, highlight any past experiences where you've successfully collaborated on projects. Discuss how you managed stakeholder relationships and contributed to team goals, as this is crucial in a hybrid work environment.
✨Prepare for Technical Questions
Expect technical questions related to data analytics, predictive maintenance, and possibly even AI and Machine Learning techniques. Brush up on these topics and think of examples from your experience that showcase your expertise. Being well-prepared will help you stand out as a knowledgeable candidate.
