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- Tasks: Analyse and present data to drive business decisions using SQL and Power BI.
- Company: Leading consultancy firm in the UK with a relaxed and innovative culture.
- Benefits: Flexible work environment and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the FinTech industry.
- Qualifications: Experience in data analysis and proficiency in SQL and Power BI.
- Other info: Flat team structure perfect for tech enthusiasts.
The predicted salary is between 30000 - 42000 £ per year.
A leading consultancy firm in the UK is urgently seeking a Business Developer to analyze and present data to drive business decisions. The candidate will focus on developing data models using SQL and Power BI and must have experience in data analysis.
The role offers a relaxed and innovative work environment with a flat team structure. It’s a great opportunity for tech enthusiasts passionate about financial technology.
SQL & Power BI Data Analyst — FinTech in London employer: Quant Capital
Contact Detail:
Quant Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SQL & Power BI Data Analyst — FinTech in London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space on LinkedIn or at industry events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Power BI projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and case studies. Practising with friends or using mock interview platforms can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for tech enthusiasts like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace SQL & Power BI Data Analyst — FinTech in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Power BI. We want to see how you've used these tools in previous roles, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about FinTech and how your skills can help drive business decisions. Keep it engaging and relevant to the role.
Showcase Your Data Skills: In your application, include specific examples of data models you've developed or projects where you've analysed data. We love seeing real-world applications of 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 this exciting opportunity!
How to prepare for a job interview at Quant Capital
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with data modelling and how you've used SQL in past projects. Practising common SQL queries and understanding how to optimise them can really set you apart.
✨Show Off Your Power BI Skills
Since this role focuses heavily on Power BI, be ready to showcase your ability to create compelling visualisations. Bring examples of dashboards or reports you've created, and be prepared to explain your thought process behind the design choices you made.
✨Understand the FinTech Landscape
Familiarise yourself with current trends in the FinTech industry. Being able to discuss how data analysis impacts business decisions in this sector will demonstrate your passion and knowledge, making you a more attractive candidate.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy and team dynamics. This shows that you're genuinely interested in the role and helps you assess if the company culture aligns with your values, especially in a relaxed and innovative environment.
