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- Tasks: Analyse lithography data and develop innovative AI/ML methods.
- Company: Leading UK SME in electronic materials with a focus on innovation.
- Benefits: Competitive compensation and excellent growth opportunities.
- Why this job: Join a cutting-edge team and make an impact in the EUV lithography sector.
- Qualifications: Strong data analysis background, Python experience, and MS Excel proficiency.
- Other info: Passion for innovative solutions is a must!
The predicted salary is between 36000 - 60000 £ per year.
A UK-based SME in electronic materials is looking for a skilled Data Analyst to support the development of photoresists for the EUV lithography sector. The role requires a strong academic background in data analysis and experience with Python.
Responsibilities include:
- Analyzing lithography data
- Developing new methods with AI/ML
- Effective communication with the team
The candidate should have high proficiency in MS Excel and a passion for innovative solutions. This position offers competitive compensation and opportunities for growth.
Data Analyst - EUV Lithography Analytics & ML Innovation employer: CRSI
Contact Detail:
CRSI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - EUV Lithography Analytics & ML Innovation
✨Tip Number 1
Network like a pro! Reach out to professionals in the EUV lithography and data analysis fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for innovative solutions.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss how you've used data analysis in past projects. We recommend having a few examples of how you've developed new methods with AI/ML up your sleeve.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your data analysis projects, especially those involving MS Excel and machine learning. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst - EUV Lithography Analytics & ML Innovation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data analysis skills and experience with Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about EUV lithography and how your skills can contribute to our innovative solutions. Keep it engaging and personal!
Showcase Your Communication Skills: Since effective communication is key in this role, make sure to demonstrate your ability to convey complex data insights clearly. Whether it’s in your CV or cover letter, let us know how you’ve successfully communicated with teams in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at CRSI
✨Know Your Data Inside Out
Before the interview, dive deep into the specifics of data analysis related to EUV lithography. Brush up on your knowledge of photoresists and how they impact the lithography process. Being able to discuss relevant data sets and trends will show your expertise and enthusiasm for the role.
✨Show Off Your Python Skills
Make sure you’re ready to talk about your experience with Python. Prepare examples of projects where you've used Python for data analysis or AI/ML development. If possible, bring along a portfolio or code snippets that demonstrate your skills in action.
✨Excel at Excel
Since high proficiency in MS Excel is a must, be prepared to discuss advanced functions and techniques you’ve used. Think about how you’ve leveraged Excel for data visualisation or complex calculations in past roles, and be ready to share those experiences.
✨Communicate Clearly and Confidently
Effective communication is key in this role. Practice explaining complex data concepts in simple terms, as you might need to convey your findings to team members who aren’t data experts. This will demonstrate your ability to collaborate and innovate within the team.
