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For Companies At a Glance
- Tasks: Extract, manipulate data, and generate insights to boost business performance.
- Company: Global bank in Nottingham with a focus on innovation.
- Benefits: Competitive salary up to £55,000 and hybrid work model.
- Why this job: Join a dynamic team and make impactful decisions through data analysis.
- Qualifications: Advanced SQL skills, Python familiarity, and experience with Tableau.
- Other info: Collaborate with cross-functional teams in a supportive environment.
The predicted salary is between 33000 - 77000 £ per year.
A global bank in Nottingham is seeking a skilled Data Analyst to focus on data extraction, manipulation, and insight generation. You will collaborate with cross-functional teams to develop analytical solutions that enhance business performance.
The ideal candidate has:
- Advanced SQL skills
- Familiarity with Python
- Experience in data visualization tools like Tableau
A strong analytical mindset and communication skills are essential. The position offers a competitive salary of up to £55,000 and a hybrid work model.
Hybrid Senior Data Analyst: Insight-Driven Growth in Nottingham employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Senior Data Analyst: Insight-Driven Growth in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current employees at the bank on LinkedIn or attend industry meetups. Building connections can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. We should also be ready to discuss how we've used data visualisation tools like Tableau to drive insights in past projects.
✨Tip Number 3
Show off our analytical mindset! During interviews, we can share specific examples of how our insights have positively impacted business performance. Real-life stories resonate well!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily.
We think you need these skills to ace Hybrid Senior Data Analyst: Insight-Driven Growth in Nottingham
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your advanced SQL skills in your application. We want to see how you can extract and manipulate data effectively, so don’t hold back on showcasing your experience!
Talk About Your Analytical Mindset: We’re looking for someone with a strong analytical mindset. In your application, share examples of how you've used data to drive insights and improve business performance. This will help us see your thought process!
Visualisation is Key: If you’ve got experience with data visualisation tools like Tableau, make it known! We love seeing how you can turn complex data into clear, actionable insights, so include any relevant projects or examples.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Harnham
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with data extraction and manipulation, and maybe even tackle a few SQL queries during the interview. Practising common SQL problems can really help you stand out.
✨Show Off Your Python Knowledge
If you've got experience with Python, don’t hold back! Be ready to share specific examples of how you've used it in past projects. Whether it's for data analysis or automation, showcasing your Python skills will demonstrate your technical prowess.
✨Visualise Your Success
Familiarity with data visualisation tools like Tableau is key. Prepare to discuss how you've used these tools to create impactful visualisations that drive insights. Bring along examples if possible, as this will give you an edge in demonstrating your analytical capabilities.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice explaining complex data concepts in simple terms, as you'll need to collaborate with cross-functional teams. Being able to convey your insights clearly will show that you're not just a data whiz, but also a team player.
