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- Tasks: Analyse data to deliver insights and support decision-making across Finance, Treasury, and Operations.
- Company: Fast-growing fintech in the payments space with a dynamic culture.
- Benefits: Competitive salary, equity, hybrid work model, and comprehensive benefits.
- Why this job: Join a high-impact role and shape the future of fintech with your data skills.
- Qualifications: 6+ years in Data Analytics, advanced SQL, and strong stakeholder management.
- Other info: Exciting growth stage with opportunities for career advancement.
The predicted salary is between 70000 - 80000 £ per year.
We’re working with a fast-growing fintech in the payments space looking to hire a Data Analyst into their central data team. This is a high-impact role at an exciting stage of growth, with strong exposure across Finance, Treasury, and Operations.
Role responsibilities:- Partner with Finance, Treasury, and Operations to deliver key business insights
- Analyse performance metrics (e.g. SLAs, processing times) to identify improvements
- Support revenue analysis, forecasting, and unit economics
- Build and maintain self-serve dashboards for internal teams
- Contribute to data models and support the wider data infrastructure
- Deliver deep-dive analysis to support leadership decision-making
- 6+ years experience in Data Analytics / Data Science
- Advanced SQL skills (querying, modelling, optimisation)
- Experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift)
- Strong stakeholder management and business-facing experience
- Ability to translate business problems into data-driven insights
- Fintech / payments / FX experience
- Exposure to financial metrics (revenue, forecasting, unit economics)
- Python experience (pandas, automation)
- Experience working in fast-paced or startup environments
Salary: £70,000 – £80,000 + equity + benefits
Location: London (Hybrid – 3 days in office)
If this sounds of interest, feel free to apply or reach out directly for more details.
Data Analyst in London employer: Rev & Regs
Contact Detail:
Rev & Regs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in data roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples that highlight your SQL prowess and ability to derive insights from complex data sets.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions. Be ready to discuss how you've tackled business problems with data-driven solutions, especially in finance or operations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience in Data Analytics and any relevant skills like SQL or Python. We want to see how your background fits with our fintech vibe!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this Data Analyst position and how you can contribute to our team. Keep it engaging and personal – we love a bit of personality!
Showcase Relevant Projects: If you've worked on projects that involved data analysis, dashboards, or stakeholder management, make sure to mention them. We’re keen to see how you’ve tackled real-world problems and delivered insights.
Apply Through Our Website: We encourage you to apply through our website for a smoother 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 Rev & Regs
✨Know Your Data Tools
Make sure you brush up on your SQL skills before the interview. Be ready to discuss how you've used SQL for querying and modelling in past roles. If you've worked with data warehouses like Snowflake or BigQuery, have some examples ready to share.
✨Understand the Business
Familiarise yourself with the fintech and payments landscape. Research the company’s products and services, and think about how your analytical skills can contribute to their goals. Being able to translate business problems into data-driven insights will impress your interviewers.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse performance metrics or solve hypothetical business problems. Practice articulating your thought process clearly, as this will showcase your analytical skills and stakeholder management experience.
✨Showcase Your Dashboard Skills
If you've built self-serve dashboards in the past, be prepared to discuss them. Bring examples of how these dashboards helped internal teams make informed decisions. This will demonstrate your ability to deliver key business insights effectively.