Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse and present data using SQL and Power BI for impactful decision-making.
- Company: Leading fintech company in West London with a focus on innovation.
- Benefits: Competitive compensation, flexible work arrangements, and opportunities for growth.
- Why this job: Join a dynamic team and make data-driven decisions that shape the future.
- Qualifications: Strong SQL and Power BI skills with experience in data analysis.
- Other info: Minimal office presence required, perfect for a balanced work-life.
The predicted salary is between 36000 - 60000 £ per year.
A leading fintech company in West London is seeking a Data Analyst / Report Writer to analyze and present data for decision-making. The role involves working with large datasets and utilizing tools such as Power BI and SQL.
The ideal candidate has strong SQL and Power BI skills and experience in data analysis. This is a full-time position, with minimal office presence required. Competitive compensation is offered.
Hybrid Data Analyst: End-to-End SQL & Power BI Reporting employer: Quant Capital
Contact Detail:
Quant Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Analyst: End-to-End SQL & Power BI Reporting
✨Tip Number 1
Network like a pro! Reach out to people in the fintech industry, especially those who work with data. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries and Power BI dashboards. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've tackled challenges in the past using SQL and Power BI. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid Data Analyst: End-to-End SQL & Power BI Reporting
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL to tackle real-world problems, so share specific examples that demonstrate your skills.
Power BI is Key: Since this role involves Power BI reporting, don’t forget to mention any projects where you’ve created impactful dashboards or reports. We love seeing how you can turn data into visual stories!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We appreciate when candidates connect their experience directly to the job description, showing us why you're the perfect fit.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of 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 complex queries, data manipulation, and how you've used SQL in past projects. Practising some common SQL problems can really help you stand out.
✨Show Off Your Power BI Skills
Familiarise yourself with Power BI features and be ready to showcase any dashboards or reports you've created. If possible, bring examples of your work to the interview. This will demonstrate your hands-on experience and ability to present data effectively.
✨Understand the Fintech Landscape
Research the fintech industry and the specific company you're interviewing with. Knowing their products, services, and recent developments will show your genuine interest and help you tailor your answers to align with their goals.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific data analysis scenarios. Think about past experiences where you solved problems using data. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly and effectively.
