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- Tasks: Analyse business data to drive decisions and design key metrics.
- Company: Fast-growing fintech company based in London.
- Benefits: Gain valuable experience, mentorship, and contribute to real company growth.
- Why this job: Perfect for 2nd-year students seeking impactful placement opportunities.
- Qualifications: Strong problem-solving skills with Python and SQL experience.
- Other info: Join a small team and enjoy a supportive learning environment.
The predicted salary is between 13000 - 16000 £ per year.
A high-growth fintech company in London is seeking a Business Data Analyst to support data-driven decision making. This role is ideal for 2nd-year university students looking for a placement year. You will analyze core business problems and design key metrics. Having strong problem-solving skills and experience with Python and SQL is essential. You will also have opportunities for mentorship within a small team, contributing directly to company growth.
Hybrid Data Analyst — Growth | Credit Risk & Insights in London employer: updraft.com
Contact Detail:
updraft.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Analyst — Growth | Credit Risk & Insights in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. We can’t stress enough how personal connections can give you the inside scoop on job openings and company culture.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python and SQL. This will help us see your problem-solving abilities in action and make you stand out.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are, the better you'll perform!
✨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 take that extra step to connect directly with us.
We think you need these skills to ace Hybrid Data Analyst — Growth | Credit Risk & Insights in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that match the job description. We want to see how your background in data analysis, especially with Python and SQL, aligns with our needs.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role and how you can contribute to our growth. Be genuine and let your personality shine through; we love seeing enthusiasm!
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex problems in the past. We’re looking for those strong problem-solving skills, so don’t hold back on sharing your successes!
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 in our team!
How to prepare for a job interview at updraft.com
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects or coursework, as this will show your practical experience and problem-solving abilities.
✨Understand the Business Context
Research the fintech industry and the specific challenges it faces. Being able to discuss how data analysis can drive decision-making in this context will impress your interviewers and demonstrate your genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-world business problems during the interview. Practice articulating your thought process clearly and logically, as this will showcase your analytical skills and ability to think on your feet.
✨Show Enthusiasm for Mentorship
Since this role offers mentorship opportunities, express your eagerness to learn from experienced colleagues. Highlight any previous experiences where you've benefited from guidance, as this will align with the company's supportive culture.
