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- Tasks: Analyse temperature data and assist in product development for cutting-edge technology.
- Company: Join a leader in sensor technology, innovating in aerospace and power generation.
- Benefits: Enjoy flexible working hours and a supportive company culture with training opportunities.
- Why this job: Make an impact in engineering while developing your skills in a friendly environment.
- Qualifications: Ideal for Engineers with a strong academic background and experience in Solidworks and programming.
- Other info: Commutable from Dagenham, Romford, Ilford, Stratford, London, and Purfleet.
Fantastic opportunity for an Engineer with a keen interest in data analysis and working with statistics.
Flexible working hours / Hybrid working. A rare opportunity has arisen to work within an organisation that develops cutting edge technology within their sector. Based in the Dagenham area of London, they develop patented temperature detection technology that is used across a range of sectors, including aerospace and power generation. This position will see you analyse a range of data and use the findings to assist with product development.
Salary & Package: £40,000 to £50,000 Depending on experience. Flexible working hours.
The Senior Engineering Data Analyst job will involve:
- Conduct quantitative analysis of temperature measurements on engine components
- Relate this analysis to real client engine-test data. How does it compare to alternative temperature/test parameters? Does the contextualised data make sense?
- Communicate/visualise the data with the target audience always in mind
- Contribute to research published in academic journals and conference proceedings
- Perform occasional practical laboratory work (e.g. using optical equipment, heat-treatment facilities and wet-chemistry processes)
- As the role progresses, you’ll acquire the skills to independently manage client relationships and projects
This Senior Engineering Data Analyst job will suit:
- An Engineer from either a Materials Science, Mechanical or Electrical discipline. A strong academic background (preferably PHD level) and analytical approach to work.
- Someone with previous Solidworks CAD experience and awareness of programming languages, such as Python or LabView.
- Understanding of metrology concepts and statistics.
The Engineering Data Analyst job’s working environment, opportunities and rewards:
- Opportunity to join an industry leader of sensor technology based on luminescence materials for engineering applications in demanding environments.
- Training provided with JMP Data Analysis software
- Friendly, open and supportive company culture.
- Flexible working hours are offered.
Closing date: 25th April 2025
This job is commutable from Dagenham, Romford, Ilford, Stratford, London, Purfleet.
To apply please contact Joe Parker at Euro Projects Recruitment Ltd.
Visit the Euro Projects Recruitment website to search our latest permanent, contract and interim vacancies.
“Please note that if you are not contacted within the next ten days then your application, on this occasion, has not been successful. We thank you for taking the time to apply.”
Reference: JP-SEDA
Senior Engineering Data Analyst employer: Euro-Projects Recruitment Ltd
Contact Detail:
Euro-Projects Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineering Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in temperature detection technology and data analysis. This will not only help you understand the company's products better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your Solidworks CAD skills and programming languages like Python or LabView. Being able to demonstrate your technical proficiency in these areas can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with quantitative analysis and how you've applied statistical methods in previous roles. Be ready to provide examples of how your analysis has contributed to product development or client projects.
✨Tip Number 4
Network with professionals in the engineering and data analysis fields, especially those who have experience in sensor technology. This could lead to valuable insights and potentially even referrals for the position.
We think you need these skills to ace Senior Engineering Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in engineering, data analysis, and any specific skills mentioned in the job description, such as Solidworks CAD and programming languages like Python or LabView.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background in materials science, mechanical, or electrical engineering aligns with the responsibilities of the Senior Engineering Data Analyst position.
Showcase Your Analytical Skills: Provide examples of past projects where you conducted quantitative analysis or worked with statistics. Highlight any experience with data visualisation and how you communicated findings to different audiences.
Research the Company: Familiarise yourself with the company's technology and its applications in various sectors. Understanding their patented temperature detection technology will help you demonstrate your interest and knowledge during the application process.
How to prepare for a job interview at Euro-Projects Recruitment Ltd
✨Showcase Your Analytical Skills
Prepare to discuss your experience with quantitative analysis, particularly in relation to temperature measurements. Be ready to explain how you've used data to inform product development or decision-making in previous roles.
✨Familiarise Yourself with Relevant Tools
Make sure you are comfortable discussing Solidworks CAD and programming languages like Python or LabView. If possible, bring examples of projects where you've utilised these tools effectively.
✨Understand Metrology and Statistics
Brush up on metrology concepts and statistical methods relevant to engineering data analysis. Being able to articulate how these concepts apply to real-world scenarios will demonstrate your expertise.
✨Communicate Clearly and Effectively
Since the role involves visualising and communicating data, practice explaining complex data findings in a simple manner. Tailor your communication style to suit different audiences, as this will be crucial in your role.
