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- Tasks: Support data scientists by conducting quality control analyses and data investigations.
- Company: Leading data insights company in Glasgow with a focus on mental health and well-being.
- Benefits: Full-time permanent position with opportunities to work on cutting-edge data projects.
- Why this job: Join a diverse team and make an impact in the world of data analytics.
- Qualifications: Proficiency in Python and strong numerical and analytical skills.
- Other info: Excellent communication skills are essential for this role.
The predicted salary is between 30000 - 42000 £ per year.
A leading data insights company in Glasgow seeks a Data Analyst with a strong understanding of numerical and analytical skills. The ideal candidate will support data scientists by conducting quality control analyses and data investigations, requiring proficiency in Python and excellent communication.
Join our diverse team where mental health and well-being are prioritized. This full-time permanent position offers the opportunity to contribute to cutting-edge data projects.
Python Data Analyst - Quality & Modeling Support in Glasgow employer: Arsenault
Contact Detail:
Arsenault Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Analyst - Quality & Modeling Support in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python projects, especially those related to data quality and analysis. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your analytical skills and be ready to discuss how you've tackled data challenges in the past. Use real examples to illustrate your problem-solving abilities.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Python Data Analyst - Quality & Modeling Support in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your numerical and analytical skills, especially your proficiency in Python. We want to see how your experience 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 data analysis and how you can support our data scientists. Keep it engaging and personal – we love getting to know our applicants!
Showcase Communication Skills: Since excellent communication is key for this role, make sure to highlight any experiences where you've effectively communicated complex data insights. We value clarity and collaboration, so let us see that side of you!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Arsenault
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific libraries and frameworks you've used, especially those relevant to data analysis. Practising coding challenges can also help you demonstrate your proficiency.
✨Showcase Your Analytical Skills
Prepare examples of past projects where you conducted quality control analyses or data investigations. Be ready to explain your thought process and the impact of your work. This will show that you not only understand the technical side but can also apply it effectively.
✨Communicate Clearly and Confidently
Since excellent communication is key for this role, practice explaining complex data concepts in simple terms. You might be asked to present your findings, so think about how you would convey your insights to someone without a technical background.
✨Emphasise Well-being and Team Fit
Given the company's focus on mental health and well-being, be prepared to discuss how you contribute to a positive team environment. Share experiences where you supported colleagues or fostered collaboration, showing that you align with their values.
