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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 dynamic work environment.
The predicted salary is between 24000 - 36000 £ 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 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
✨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 from the crowd.
✨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 when it counts!
✨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 the initiative to engage directly with us.
We think you need these skills to ace Hybrid Data Analyst — Growth | Credit Risk & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills, especially in Python and SQL. We want to see how your experience aligns with the role, so don’t be shy about showcasing your problem-solving abilities!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our growth. Keep it personal and engaging – we love a bit of personality!
Showcase Your Analytical Skills: In your application, include examples of how you've tackled data-driven problems in the past. We’re looking for evidence of your analytical mindset, so share any projects or coursework that demonstrate this.
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 don’t miss out on any important updates from 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 growth and mitigate credit risk 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 reflect your willingness to grow and contribute to the team.
