At a Glance
- Tasks: Analyse aerospace engineering data to identify trends and forecast failures.
- Company: Join a leading aerospace company focused on safety and reliability.
- Benefits: Enjoy flexible work options and opportunities for professional growth.
- Why this job: Make a real impact on safety and customer satisfaction in the aerospace industry.
- Qualifications: Degree in mechanical or aerospace engineering with experience in data analysis tools.
- Other info: Reach out via call, text, or email if your CV isn't ready!
The predicted salary is between 30000 - 50000 £ per year.
You\’ll be analysing a comprehensive engineering data set relating to aerospace components and mechanisms to determine trends in areas such as failure rates, test reports and repair reports. Your output will be reports on anomalies, trends and forecast models on predicted failures over a wide range of time-lines The reward is making a major contribution to improving safety, quality and reliability of engineering devices, resulting in great customer satisfaction You\’ll need a degree in mechanical or aerospace engineering combined with commercial work experience in engineering data analysis using modelling tools such as Power BI, advanced Excel and ML CV not ready? No problem, just call, text or email me – I\’ll always get back to you
Engineering Data Analyst - Aerospace employer: ATP Technical Limited
Contact Detail:
ATP Technical Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Data Analyst - Aerospace
✨Tip Number 1
Familiarise yourself with the specific modelling tools mentioned in the job description, like Power BI and advanced Excel. Consider taking online courses or tutorials to enhance your skills, as this will show your commitment and readiness for the role.
✨Tip Number 2
Network with professionals in the aerospace engineering field. Attend industry events or join relevant online forums to connect with others who may provide insights or even referrals for the position at StudySmarter.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data analysis to solve problems in previous roles. Being able to articulate your experience with trends, anomalies, and forecasting will set you apart during interviews.
✨Tip Number 4
Stay updated on the latest trends and technologies in aerospace engineering. This knowledge can help you demonstrate your passion for the field and your ability to contribute to improving safety and reliability in engineering devices.
We think you need these skills to ace Engineering Data Analyst - Aerospace
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of an Engineering Data Analyst in the aerospace sector. Highlight your understanding of analysing engineering data sets, trends, and forecasting models in your application.
Tailor Your CV: Make sure your CV reflects your degree in mechanical or aerospace engineering and any relevant commercial experience. Emphasise your skills in data analysis and familiarity with tools like Power BI and advanced Excel.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for aerospace engineering and data analysis. Mention specific projects or experiences where you successfully analysed data to improve safety or reliability.
Highlight Relevant Skills: In your application, clearly outline your technical skills, particularly in modelling tools and data analysis. Provide examples of how you've used these skills to identify trends or anomalies in previous roles.
How to prepare for a job interview at ATP Technical Limited
✨Showcase Your Technical Skills
Make sure to highlight your experience with modelling tools like Power BI and advanced Excel. Be prepared to discuss specific projects where you've used these tools to analyse data and draw insights.
✨Understand Aerospace Engineering Concepts
Brush up on key aerospace engineering principles, especially those related to failure rates and repair reports. Demonstrating a solid understanding of these concepts will show your passion for the field and your ability to contribute effectively.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to analyse hypothetical data sets or trends. Practise explaining your thought process and how you would approach identifying anomalies or predicting failures based on given data.
✨Emphasise Your Contribution to Safety and Quality
Since the role focuses on improving safety and reliability, be ready to discuss how your previous work has positively impacted these areas. Share examples that demonstrate your commitment to quality and customer satisfaction.