Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data and create impactful reports for a leading banking client.
- Company: Join Huxley, a dynamic trading division of SThree Partnership LLP.
- Benefits: Gain hands-on experience with competitive pay and potential for growth.
- Why this job: Perfect for recent grads eager to kickstart their career in data analysis.
- Qualifications: Strong Excel, SQL, and Power BI skills; financial services experience preferred.
- Other info: Fast-paced environment with opportunities to learn and develop new skills.
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 - Huxley in London employer: Huxley
Contact Detail:
Huxley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst - Huxley in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking sector and let them know you're on the hunt for a Junior Data Analyst role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Brush up on your technical skills! Make sure you're comfortable with Advanced Excel, SQL, and Power BI. Consider doing some online courses or projects to showcase your abilities, especially if you’re a recent grad.
✨Tip Number 3
Tailor your approach! When you find a job that excites you, customise your pitch to highlight your relevant experience and skills. Show them why you’re the perfect fit for their team and how you can contribute right away.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications all in one place.
We think you need these skills to ace Junior Data Analyst - Huxley in 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 while keeping it professional.
Showcase Your Technical Skills: Since this role requires strong technical abilities, make sure to mention any relevant tools you've used, like Power BI or Python. If you’ve worked on any projects that involved these tools, give us the details – we’re keen to know how you’ve applied your skills!
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 follow the prompts and you’ll be all set!
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 financial services. Prepare examples of how you've worked with data in this sector, focusing on data quality and analysis.
✨Be Ready for Problem-Solving Questions
Expect questions that assess your analytical thinking. Practice explaining how you would approach a data-related problem, perhaps using a case study from your past experiences or coursework.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team, projects, or tools they use. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
