Revolut Data Analyst interview questions & guide 2026

The following questions are representative of the patterns we observe across our technical and behavioral assessment stages. While specific tasks may vary by team and region, these categories reflect the core competencies we evaluate.

Technical Proficiency: SQL and Statistics

These questions assess your ability to extract insights from large datasets and your fundamental grasp of statistical concepts.

• Write a query to identify the top 3 users by transaction volume over the last 30 days.
• How would you handle missing data in a large customer dataset?

Preparation for a Revolut interview requires a blend of technical mastery and a product-first mindset. Do not simply memorize syntax; focus on the "why" behind your technical choices. We look for candidates who demonstrate ownership, speed, and an uncompromising attention to detail.

• Role-Related Knowledge: You must be fluent in SQL and familiar with data architecture. We evaluate your ability to write clean, efficient code and your understanding of how data pipelines support regulatory and product requirements.
• Analytical Rigor: We test how you approach problems. Can you identify the root cause? Can you design a solution that is not just technically sound, but also practical for the business?
• Communication and Collaboration: You will work with diverse, cross-functional teams. We look for the ability to articulate technical concepts clearly to non-technical managers and a willingness to align on shared goals.

The Revolut hiring process is designed to be rigorous and fast-paced, reflecting our culture of high performance. It typically begins with an HR screening to assess your background and motivations, followed by a series of technical assessments. You should expect a mix of live coding sessions and case study discussions where you will be asked to apply your skills to real-world scenarios.

The process can be challenging and requires significant time investment. We prioritize candidates who show resilience, clarity of thought, and a proactive approach to communication. Be prepared for multiple rounds, as we aim to ensure a high level of alignment between your expertise and the specific needs of the team you are joining.

The timeline above represents our standard structure, though it may vary based on your location and the specific department. You should use this to pace your preparation, ensuring you are ready for both the technical coding rounds and the subsequent business-focused discussions.

Coding and Technical Implementation

We evaluate your ability to write production-ready code. You will be tested on your proficiency with SQL and, in some cases, Python, particularly for data manipulation tasks.

• SQL proficiency – Joins, window functions, and query optimization.
• Python for data – Data cleaning, manipulation using libraries like Pandas, and basic scripting.
• Data architecture – Understanding ETL processes and how to design scalable data structures.

As a Data Analyst at Revolut, you will be responsible for building and maintaining the reporting infrastructure that keeps our product teams informed. You will spend your time digging into complex databases to identify root causes of problems and designing code-based solutions to fix them.

You will work closely with Regulatory Reporting Managers and product leads, ensuring that all data models and ETL processes are compliant, accurate, and high-quality. Your role is not just to report on what happened, but to provide the insights that guide what happens next. You will be expected to deliver under tight timeframes, maintaining impeccable attention to detail throughout the entire lifecycle of a data project.

We seek individuals who are as comfortable with complex data architecture as they are with collaborative problem-solving.

• Technical Skills: Expert-level SQL is mandatory. Experience with ETL design, data pipelines, and a strong understanding of complex data systems are essential.
• Experience: A background in data science, engineering, or quantitative analysis is preferred, especially with an advanced degree in a STEM field.
• Soft Skills: You must be detail-oriented, quality-focused, and capable of working effectively in a fast-paced, cross-functional environment.
• Must-have: Fluency in English and the ability to translate complex requirements into efficient, scalable data solutions.

Q: How difficult are the technical assessments? A: The assessments are designed to be challenging but fair. They test your practical application of SQL and statistics rather than abstract theory, so focus on real-world coding scenarios.

Q: How long does the entire process take? A: While timelines vary, the process is designed to move quickly. We recommend dedicating consistent time to preparation so you can move through the stages without delay.

Q: What is the company culture like? A: Revolut is a high-performance environment. We value speed, ownership, and a "get things done" attitude. Successful candidates are those who are proactive and thrive in an environment where they can drive their own projects.

Q: Should I expect a mix of technical and behavioral questions? A: Yes. Even in technical rounds, you will be evaluated on your communication and how you justify your technical decisions to stakeholders.

• Structure your answers: Use the STAR method (Situation, Task, Action, Result) for behavioral questions to keep your responses concise and impactful.
• Be prepared for ambiguity: In our case study rounds, the prompt may be intentionally broad. Ask clarifying questions to define the scope before you start solving.
• Focus on business impact: Always link your technical solution back to the business outcome. We care about how your analysis helps the product or saves costs.
• Practice live coding: Use an IDE or text editor to practice writing SQL queries without autocomplete to build your confidence for technical interviews.

The Data Analyst position at Revolut is a unique opportunity to shape the future of a global financial leader. By mastering your technical fundamentals, staying focused on business impact, and communicating with clarity, you will be well-positioned to succeed throughout our interview process.

We encourage you to approach each stage as an opportunity to demonstrate your problem-solving capabilities and your alignment with our fast-paced, analytical culture. Use the insights provided here to structure your study and practice, and remember that preparation is the most effective way to turn a challenging process into a successful career move. You have the skills to contribute to our mission—now is the time to show us.

The salary data provided reflects current market ranges for the Data Analyst role. Use this to ensure your expectations are aligned with the seniority and responsibilities of the position you are targeting.