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- Tasks: Analyse data using SQL and provide insights to support business decisions.
- Company: A dynamic fintech startup in London with a collaborative culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by influencing strategic decisions in a fast-paced environment.
- Qualifications: Experience with BI tools and strong analytical skills.
- Other info: Gain exposure to senior leadership and enhance your career in fintech.
The predicted salary is between 36000 - 60000 £ per year.
A growing fintech startup in London is seeking a Mid Level Data Analyst/Scientist with strong analytical skills to join their collaborative data team.
Responsibilities include:
- SQL-driven analysis
- Supporting decision-making across business functions
- Translating complex data into actionable insights
The ideal candidate will have experience in BI tools and a passion for making a tangible impact in a fast-paced environment. This role offers exposure to senior leadership and opportunities to influence strategic decisions.
Fintech Data Analyst: Insights & Decision Support (Hybrid) employer: Propel
Contact Detail:
Propel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fintech Data Analyst: Insights & Decision Support (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your SQL-driven analysis and BI tools experience. When you get the chance to chat with potential employers, having tangible examples of your work can really make an impact.
✨Tip Number 3
Be ready for the interview! Research the company and its data strategies. Think about how your analytical skills can support their decision-making processes. This will show them you're not just another candidate, but someone who’s genuinely interested in making a difference.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a better shot at getting noticed by hiring managers.
We think you need these skills to ace Fintech Data Analyst: Insights & Decision Support (Hybrid)
Some tips for your application 🫡
Show Off Your Analytical Skills: Make sure to highlight your analytical skills in your application. We want to see how you've used data to drive decisions in the past, so share specific examples that showcase your SQL prowess and experience with BI tools.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their CVs and cover letters to our job description. Mention how your experience aligns with the responsibilities of the Fintech Data Analyst role and how you can contribute to our collaborative data team.
Keep It Clear and Concise: When writing your application, clarity is key. We appreciate straightforward language that gets to the point. Avoid jargon unless it's relevant, and make sure your passion for making an impact shines through!
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can easily track your application and ensure it reaches the right people. Plus, it shows us you're genuinely interested in joining our team!
How to prepare for a job interview at Propel
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL-driven analysis and maybe even tackle a few practical questions or scenarios. This will show that you can handle the technical demands of the role.
✨Showcase Your BI Tool Experience
Familiarise yourself with the BI tools you've used in the past. Be ready to share specific examples of how you've leveraged these tools to derive insights and support decision-making. This will demonstrate your ability to translate complex data into actionable insights.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data. Think about past experiences where you made an impact through your analysis. Practising these scenarios will help you articulate your thought process and analytical skills effectively.
✨Emphasise Your Collaborative Spirit
Since this is a collaborative data team, be sure to highlight your teamwork skills. Share examples of how you've worked with different business functions to influence strategic decisions. This will show that you're not just a data whiz but also a great team player.