Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data and create insightful reports for a leading banking client.
- Company: Join a top-tier banking client with a focus on innovation.
- Benefits: Gain valuable experience, competitive pay, and potential for contract extension.
- Why this job: Kickstart your career in data analysis with real-world impact in finance.
- Qualifications: Strong Excel, SQL skills, and financial services experience preferred.
- Other info: Perfect for recent grads or early-career analysts eager to learn.
The predicted salary is between 28800 - 43200 £ per year.
I'm looking for a hands-on Data Analyst to join a leading banking client on an initial 6‑month contract. Ideal for a recent grad or early‑career analyst with strong technical ability.
Key Skills
- Advanced Excel
- Advanced SQL
- Power BI (DAX, modelling)
- Python (bonus)
- Automation Anywhere experience is a big plus
Experience
- Must have Financial Services experience (banking preferred)
- Strong exposure to Data Quality (measurement, reporting, dashboards, analysis)
- Able to work across large datasets and pick things up quickly
About You
- Technical, analytical, proactive
- Fast learner, comfortable with new tools/systems
- 1-3 years' experience or a grad with strong project work/internships
Junior Data Analyst employer: Huxley
Contact Detail:
Huxley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking sector or join relevant groups on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Junior Data Analyst role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss Advanced Excel, SQL, and Power BI. We recommend doing some mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 3
Showcase your projects! If you’ve done any relevant internships or projects, make sure to highlight them during your conversations. We want to see how you’ve applied your skills in real-world scenarios, especially in financial services.
✨Tip Number 4
Don’t forget to apply through our website! It’s super easy and ensures your application gets seen by the right people. Plus, we’re always on the lookout for fresh talent like you, so take that leap and submit your application today!
We think you need these skills to ace Junior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills mentioned in the job description, like Advanced Excel and SQL. We want to see how your experience aligns with what we're looking for, so don’t be shy about showcasing relevant projects or internships!
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 your background fits the role. We love seeing enthusiasm, so let your personality come through!
Showcase Your Technical Skills: Since this role requires strong technical abilities, make sure to mention any experience you have with Power BI, Python, or automation tools. If you've worked on large datasets, share specific examples of what you did and the impact it had.
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Huxley
✨Know Your Tools
Make sure you brush up on your technical skills, especially Advanced Excel, SQL, and Power BI. Be ready to discuss how you've used these tools in your projects or internships, as this will show your hands-on experience.
✨Showcase Your Financial Services Knowledge
Since the role is within banking, it’s crucial to demonstrate your understanding of the financial services sector. Prepare examples of how you've dealt with data quality and analysis in a financial context to impress your interviewers.
✨Be Ready for Problem-Solving Questions
Expect questions that test your analytical thinking. Practice explaining your thought process when working with large datasets or solving data-related issues. This will highlight your proactive approach and fast learning ability.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data practices or the tools they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
