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For Companies At a Glance
- Tasks: Analyse data to drive insights and support decision-making in a leading banking client.
- Company: Join a top-tier banking client with a focus on innovation and growth.
- Benefits: Gain valuable experience, competitive pay, and potential for contract extension.
- Why this job: Kickstart your career in data analysis and make an impact in the financial sector.
- Qualifications: Recent grads or early-career analysts with strong technical skills are encouraged to apply.
- Other info: Dynamic role with opportunities to learn and grow in a fast-paced environment.
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
Locations
Junior Data Analyst in City of London, London employer: Huxley Associates
Contact Detail:
Huxley Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst in City of London, London
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking sector or join relevant online communities. You never know who might have a lead on that perfect Junior Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Advanced Excel, SQL, and Power BI. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've tackled data quality issues or worked with large datasets in the past.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can give you an edge over other candidates.
We think you need these skills to ace Junior Data Analyst in City of London, London
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 with 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 for a smoother process. It helps us keep track of applications better and ensures you get all the updates about your application status!
How to prepare for a job interview at Huxley Associates
✨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 financial services. 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 tackling large datasets or resolving data quality 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 it's the right fit for you.
