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- Tasks: Analyse data to drive insights and support decision-making in banking.
- Company: Leading banking client in the Greater London area.
- Benefits: Gain valuable experience in a dynamic industry with potential for future opportunities.
- Why this job: Kickstart your career in data analysis and make an impact in financial services.
- Qualifications: Recent graduate or early-career analyst with strong technical skills.
- Other info: 6-month contract with potential for extension and growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading banking client in the Greater London area is seeking a hands-on Data Analyst for an initial 6-month contract. This position is ideal for a recent graduate or early-career analyst with strong technical abilities, particularly in data analysis.
Candidates should have experience in financial services, data quality measurement, and should be comfortable working with large datasets.
- Proficiency in Advanced Excel, SQL, and Power BI is essential.
- Python and Automation Anywhere are advantageous.
Junior Data Analyst - Banking (6-Month Contract) employer: Huxley
Contact Detail:
Huxley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst - Banking (6-Month Contract)
✨Tip Number 1
Network like a pro! Reach out to professionals in the banking sector on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that Junior Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Advanced Excel, SQL, and Power BI. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. We recommend practising with friends or using mock interview platforms to build your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities tailored for early-career analysts like you. Keep an eye on our listings and get your application in – you never know where it might lead!
We think you need these skills to ace Junior Data Analyst - Banking (6-Month Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that match the job description. We want to see how your background in data analysis and financial services makes you a great fit for this role.
Showcase Your Technical Skills: Since proficiency in Advanced Excel, SQL, and Power BI is essential, don’t forget to mention any projects or experiences where you've used these tools. We love seeing practical examples of your technical abilities!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analysis and how you can contribute to our team. A personal touch goes a long way in making your application stand out!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Huxley
✨Know Your Data Tools
Make sure you brush up on your skills in Advanced Excel, SQL, and Power BI. Be ready to discuss how you've used these tools in past projects or coursework, as this will show your technical abilities and hands-on experience.
✨Understand the Banking Sector
Familiarise yourself with the basics of the banking industry and current trends. This knowledge will help you answer questions more effectively and demonstrate your interest in the sector, which is crucial for a role like this.
✨Prepare for Technical Questions
Expect to face some technical questions or even practical tests during the interview. Practise common data analysis scenarios and be prepared to explain your thought process clearly, especially if you're asked to work with large datasets.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific examples where you've tackled data quality issues or improved processes. Highlighting your analytical thinking and problem-solving skills will set you apart from other candidates.
