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- Tasks: Analyse large datasets using Power BI and SQL to drive insights.
- Company: Leading UK banking client offering a dynamic work environment.
- Benefits: Gain hands-on experience and enhance your technical skills.
- Why this job: Perfect for recent grads wanting to kickstart their career in banking data analysis.
- Qualifications: Strong Excel, SQL, and Power BI skills; financial services experience preferred.
- Other info: Initial 6-month contract with potential for growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading banking client in the UK seeks a hands-on Data Analyst for an initial 6-month contract. Ideal for recent graduates or early-career analysts with strong technical abilities.
- Key skills include advanced Excel, SQL, and Power BI.
- Financial services experience is required, with a preference for banking.
- The role offers a chance to work with large datasets and gain practical insights in a dynamic environment.
Aspiring Banking Data Analyst: Power BI & SQL employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Aspiring Banking Data Analyst: Power BI & SQL
✨Tip Number 1
Network like a pro! Reach out to professionals in the banking sector on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for data analysis.
✨Tip Number 2
Practice makes perfect! Brush up on your SQL and Power BI skills by working on real-world projects or datasets. This will not only boost your confidence but also give you some solid examples to discuss during interviews.
✨Tip Number 3
Tailor your approach! When you find a job that excites you, make sure to research the company and its culture. Use this knowledge to tailor your conversations and show how you can add value to their team.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Aspiring Banking Data Analyst: Power BI & SQL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your technical skills in SQL, Power BI, and Excel. We want to see how your experience aligns with the banking sector, so don’t forget to mention any relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis in banking and how your skills can contribute to our team. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any data analysis projects, especially using Power BI or SQL, make sure to include them in your application. We love seeing practical examples of your work and how you’ve tackled real-world problems.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI and SQL. Brush up on your advanced Excel skills too! Be ready to discuss how you've used these tools in past projects or coursework, as practical examples will really impress the interviewers.
✨Understand the Banking Sector
Since this role is in the financial services sector, it’s crucial to have a grasp of banking concepts. Research current trends in banking data analysis and be prepared to discuss how they might impact the role. This shows your genuine interest and understanding of the industry.
✨Prepare for Technical Questions
Expect some technical questions that test your analytical skills. Practice common SQL queries and Power BI functionalities. You might even be asked to solve a problem on the spot, so being comfortable with these tools will give you a leg up.
✨Showcase Your Problem-Solving Skills
Data analysis is all about solving problems. Think of specific instances where you’ve tackled challenges using data. Be ready to explain your thought process and the impact of your solutions, as this will demonstrate your analytical mindset.
