RELX Business Analyst interview questions & guide 2026

The following questions are representative of the patterns identified in recent RELX interviews. While specific inquiries will vary by department and interviewer, these categories highlight the core competencies required for a Business Analyst.

Technical and Analytical Capability

These questions test your ability to handle data, build models, and demonstrate a deep understanding of business logic.

• How do you approach cleaning and validating a large, unstructured dataset?
• Can you explain a time you used data to identify a significant business inefficiency?

Preparation at RELX requires a balanced approach. You must demonstrate both the technical rigor to handle data and the interpersonal maturity to navigate a large, global organization.

Analytical Rigor – You will be expected to demonstrate a structured approach to problem-solving. Practice explaining your logic out loud, showing how you move from a raw problem statement to a defined set of requirements or actionable insights.

Stakeholder Communication – RELX is a collaborative environment where your success depends on your ability to influence others. Be ready to discuss how you build trust with partners and how you tailor your communication for different audiences, from peers to Directors.

Adaptability and Resilience – The interview process can be intense, with some rounds featuring challenging, high-pressure questioning. Stay composed, focus on the logic of your answers, and maintain a professional demeanor even when faced with difficult, probing questions.

The interview process at RELX is typically structured, methodical, and multi-staged. Candidates should expect a series of interactions that test both your technical baseline and your cultural fit. While the process is rigorous, it is designed to ensure that you are a strong match for the specific team you will join.

You can expect to engage with several key stakeholders, which may include direct peers, potential cross-functional partners, and occasionally senior leadership. The pace can vary, but once the process begins, it typically unfolds over several weeks. The emphasis is on consistency, logic, and the ability to demonstrate a deep understanding of the business context.

This timeline provides a visual overview of the typical progression from initial screening to final-round interviews. Candidates should use this to pace their study, ensuring they are prepared for both the technical "deep-dive" sessions and the broader behavioral assessments that occur in later stages. Note that interviewers may come from different functions, so be prepared to shift your focus from technical implementation to high-level strategy depending on who is in the room.

Data-Driven Decision Making

This area is the bedrock of the role. You are evaluated on your ability to transform raw information into a clear narrative that supports business strategy.

Be ready to go over:

• Data Integrity – Understanding the importance of source verification and error checking.
• Root Cause Analysis – Demonstrating a systematic approach to identifying why a metric shifted.

As a Business Analyst, your primary responsibility is to act as the "truth-seeker" for your business unit. You will be responsible for maintaining the integrity of data pipelines and ensuring that reports are not only accurate but also highly relevant to current business goals. A typical day involves translating vague business needs into concrete data requirements, performing deep-dive analyses, and preparing presentations that justify your findings to management.

You will work closely with product and sales teams to monitor performance metrics. You are expected to be the person who understands the "why" behind the numbers. Whether it is identifying a new market opportunity or flagging a decline in sales efficiency, your work directly informs the resource allocation and strategic direction of your team.

A strong candidate for this role possesses a blend of technical capability and business acumen. You should be able to demonstrate that you can navigate complex data environments while keeping the end-user's needs in mind.

• Must-have skills: Proficiency in data visualization tools, advanced Excel or SQL capabilities, and a proven track record of stakeholder management.
• Nice-to-have skills: Experience with cloud-based data platforms, knowledge of the publishing or information services industry, and familiarity with agile project management methodologies.

Q: How long does the hiring process typically take? A: Candidates typically experience a process lasting several weeks, involving multiple rounds of interviews. It is important to remain patient and responsive throughout this period.

Q: What is the most important quality for success in the interview? A: Beyond technical skills, the ability to clearly communicate your thought process is vital. Interviewers at RELX want to see how you think, not just what you know.

Q: Is the interview process very technical? A: It is balanced. Expect a mix of hands-on analytical questions and high-level behavioral questions that test your leadership and collaboration skills.

• Understand the business: Research the specific division of RELX you are interviewing for, as the company is vast and diverse.
• Prepare for pressure: Some interviewers may adopt an intense, challenging style to see how you perform under stress. Stay calm and stick to your facts.
• Focus on impact: In every answer, try to link your actions to a tangible business result, such as cost savings, time efficiency, or revenue growth.
• Ask thoughtful questions: Use the end of your interview to ask about the team's current challenges and how your role specifically contributes to solving them.

The Business Analyst role at RELX is a challenging, high-impact position that sits at the center of the organization's strategic engine. Success requires a combination of analytical precision, clear communication, and the resilience to navigate a complex, fast-paced environment. By focusing on your ability to structure complex problems and articulate the business value of your data, you will position yourself as a top-tier candidate.

To further refine your preparation, you can explore additional interview insights, practice questions, and preparation resources on Dataford. You have the capability to succeed; stay focused on your narrative, be prepared to defend your analytical logic, and approach your interviews with confidence.

This module provides an overview of the compensation landscape for this position. Candidates should interpret these figures as market benchmarks, keeping in mind that total compensation packages may vary based on experience level, specific location, and the internal grading of the role.