At a Glance
- Tasks: Analyse data and enhance dashboards to provide actionable insights for clients.
- Company: Join a dynamic fintech startup focused on eliminating financial anxiety.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting work environment in London with a mission-driven team.
- Why this job: Make a real impact in the fintech space while developing your analytical skills.
- Qualifications: 3-4 years of experience in data analysis, with SQL and Python proficiency.
The predicted salary is between 40000 - 50000 £ per year.
Eligible.ai is seeking a data analyst to maintain client reporting and enhance existing dashboards. You will leverage your SQL and Python skills to quickly understand data relationships and identify gaps while producing clear, actionable insights for board reporting.
The ideal candidate has 3-4 years of experience in a data-focused role within a startup or scale-up environment. Fintech experience is a bonus. Join us in London and contribute to our mission of eliminating financial anxiety.
Data Analyst - Fintech Insights & Forecasting employer: Eligible.ai
At Eligible.ai, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Data Analyst in our London office, you will benefit from a collaborative environment that encourages professional growth and offers opportunities to work on impactful projects within the fintech sector. Join us to not only advance your career but also to be part of a mission-driven team dedicated to alleviating financial anxiety for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Fintech Insights & Forecasting
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. 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 practising common data analyst questions. We recommend using real-world scenarios to demonstrate how you’ve tackled challenges in previous roles.
✨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 genuinely interested in joining our mission.
We think you need these skills to ace Data Analyst - Fintech Insights & Forecasting
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your SQL and Python skills in your application. We want to see how you’ve used these tools to create insights and solve problems in your previous roles.
Tailor Your Experience:When writing your application, focus on your experience in data-focused roles, especially in startup or scale-up environments. If you've got fintech experience, don’t forget to mention it – it’s a bonus for us!
Be Clear and Concise:We love clarity! Use straightforward language to explain your past projects and the impact they had. This will help us quickly understand your contributions and how you can add value to our team.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Eligible.ai
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages to analyse data, as well as any challenges you faced and how you overcame them.
✨Understand Fintech Trends
Since fintech experience is a bonus, it’s a good idea to familiarise yourself with current trends in the industry. Read up on recent developments and be ready to share your thoughts on how they might impact data analysis and client reporting.
✨Showcase Your Reporting Skills
Prepare examples of dashboards or reports you've created in previous roles. Highlight how your insights led to actionable changes or improvements, and be ready to explain your thought process behind the design and data selection.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data challenges or how they envision the data analyst role evolving within the team.
