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- Tasks: Provide analytical support to the sales team and enhance customer outcomes with insights.
- Company: Dynamic fintech firm focused on growth and innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for career progression.
- Why this job: Make a real impact in a fast-paced environment while driving customer success.
- Qualifications: Experience in data analysis, Python, SQL, and advanced Excel skills.
- Other info: Significant growth potential, including progression to Head of Customer Success.
The predicted salary is between 30000 - 50000 £ per year.
A dynamic financial technology firm is seeking a hands-on Data Analyst in Epsom, UK. You will provide analytical support directly to the sales team, enhancing customer outcomes with actionable insights. This full-time role blends data analysis and client engagement, optimizing processes while ensuring accuracy in commissions and billing.
If you have expertise in data analysis, Python, SQL, and advanced Excel, this position offers significant growth potential, including progression to Head of Customer Success.
Data Analyst – Fintech SaaS | Hybrid, Onboard & Drive Growth in Epsom employer: Debt Register
Contact Detail:
Debt Register Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – Fintech SaaS | Hybrid, Onboard & Drive Growth in Epsom
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python, SQL, and Excel. 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 practising common data analyst questions and scenarios. Think about how you can demonstrate your analytical skills and client engagement experience, as these are key for the role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and enthusiasm, which we really value.
We think you need these skills to ace Data Analyst – Fintech SaaS | Hybrid, Onboard & Drive Growth in Epsom
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data analysis, Python, SQL, and advanced Excel. We want to see how your skills can drive growth in our dynamic fintech environment!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can enhance customer outcomes. Let us know how you can contribute to our sales team and make an impact.
Showcase Relevant Projects: If you've worked on any relevant projects or case studies, don’t forget to mention them! We love seeing practical examples of your analytical skills and how you've used data to optimise processes in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Debt Register
✨Know Your Data Tools
Make sure you brush up on your skills in Python, SQL, and advanced Excel before the interview. Be ready to discuss specific projects where you've used these tools to drive insights or improve processes. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Understand the Fintech Landscape
Familiarise yourself with the current trends in the fintech industry. Knowing how data analysis impacts customer outcomes in this sector will help you stand out. You might want to read up on recent innovations or challenges in fintech to demonstrate your interest and knowledge during the conversation.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data sets. Practise articulating your thought process clearly and logically. This will not only showcase your analytical skills but also your ability to communicate complex ideas effectively to the sales team.
✨Showcase Your Client Engagement Skills
Since this role involves direct support to the sales team, be prepared to discuss your experience with client engagement. Share examples of how you've used data to enhance customer interactions or outcomes. This will highlight your ability to blend technical skills with interpersonal communication, which is key for success in this position.