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For Companies At a Glance
- Tasks: Develop and implement analytical models for structural health monitoring and performance analysis.
- Company: Innovative company leading in condition monitoring technology.
- Benefits: Competitive salary up to £50K, hybrid working, and growth opportunities.
- Why this job: Combine mechanical engineering with data analytics to make a real impact.
- Qualifications: Degree in Mechanical Engineering or related field; strong Python skills required.
- Other info: Join a rapidly growing team with significant investment in new technology.
The predicted salary is between 28800 - 42000 £ per year.
Job Description
About the opportunity
Are you an engineer with a passion for data-driven problem solving and structural analysis? I'm working with an innovative company at the forefront of condition monitoring technology. They're looking for a tec…
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Engineering Analyst - Data Analytics employer: Ascent People
Contact Detail:
Ascent People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Analyst - Data Analytics
✨Tip Number 1
Network like a pro! Reach out to your connections in the engineering and data analytics fields. Attend industry events or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data analysis. This is your chance to demonstrate how you can turn complex data into actionable insights, just like the role requires.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss structural dynamics and your experience with SCADA systems. Practise explaining complex concepts in simple terms, as communication is key in this role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in the position. Don’t forget to tailor your application to highlight your relevant skills and experiences!
We think you need these skills to ace Engineering Analyst - Data Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in mechanical engineering and data analytics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven problem solving and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Since this role involves Python and data analysis, make sure to mention any specific projects or experiences where you’ve used these skills. We love seeing real-world applications of your technical know-how!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our innovative team!
How to prepare for a job interview at Ascent People
✨Know Your Data
Make sure you brush up on your data analytics skills, especially in Python. Be prepared to discuss how you've used Python for engineering tasks and how you can analyse large datasets. Bring examples of your past work that demonstrate your ability to translate complex data into actionable insights.
✨Understand the Tech
Familiarise yourself with SCADA systems and any relevant structural health monitoring technologies. If you have experience with tools like Git or Docker, be ready to talk about how you've used them in your projects. Showing that you understand the tech landscape will impress your interviewers.
✨Communicate Clearly
You’ll need to convey complex technical concepts to various stakeholders, so practice explaining your past projects in simple terms. Think about how you can break down your analytical models and findings to make them relatable, even to those without a technical background.
✨Show Your Passion
This role is all about combining mechanical engineering with data analytics, so let your enthusiasm shine through! Share why you're excited about condition monitoring technology and how you see it impacting the industry. A genuine passion can set you apart from other candidates.
