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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 - 48000 £ 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: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers 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 online communities. We can’t stress enough how a personal introduction can make all the difference in landing that interview.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss your experience with Excel, SQL, and Power BI. We recommend doing some mock interviews to get comfortable with the questions you might face.
✨Tip Number 3
Showcase your projects! If you’ve done any relevant work during your studies or internships, be ready to talk about it. We love seeing how you’ve applied your skills in real-world scenarios, especially in data quality and analysis.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for fresh talent like you to join our team!
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 relevant tools you've used, like Power BI or Python. If you’ve done any automation work, definitely include that too – it’s a big plus for us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Tools
Make sure you brush up on your technical skills, especially 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 and understanding of data analysis.
✨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 reporting, to highlight your relevant experience.
✨Be Ready for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Practice explaining how you approach data challenges, perhaps using a specific example from your past work or studies to illustrate your thought process.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared about the team, the tools they use, or their data processes. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
