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RELXData Analyst
Updated · Reviewed by the Dataford team

RELX Data Analyst interview questions & guide 2026

Every question RELX interviewers actually ask, the frameworks that win the room, and the language hiring managers respond to.

What is a Data Analyst at RELX?

As a Data Analyst at RELX, you are at the intersection of high-stakes information analytics and real-world societal impact. RELX provides information-based analytics and decision tools for professional and business customers, and your role is to transform complex, massive data sets into actionable intelligence that helps government agencies, law enforcement, and researchers make informed, timely decisions.

You will work within environments like LexisNexis Risk Solutions, where your analysis directly contributes to program integrity, fraud prevention, and the advancement of scientific knowledge. This role is not just about crunching numbers; it is about acting as a Subject Matter Expert (SME) who can bridge the gap between technical data output and strategic business or policy outcomes. You will collaborate with engineers, operational staff, and senior stakeholders to solve some of the most pressing challenges facing our nation and global industries.

Expect a fast-paced, high-responsibility environment where your work directly influences the efficacy of law enforcement operations or the outcomes of critical research. Success here requires a blend of rigorous analytical capability, a deep sense of professional ethics, and the ability to communicate complex findings to stakeholders who may not have a technical background.

Common Interview Questions

The following questions are representative of the patterns observed in recent RELX interview cycles. While specific technical tests vary by team, the focus remains on your ability to demonstrate logical problem-solving and clear communication.

Technical & Analytical Proficiency

These questions test your ability to handle data, apply statistical methods, and demonstrate domain expertise.

  • How would you approach a bibliometric analysis of a large dataset?
  • Describe a time you had to clean a messy, incomplete dataset; what steps did you take to ensure accuracy?
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03 · Question bank

The questions most likely to come up

Sorted by relevance to this company
Calculate Monthly Sales Growth by Product CategoryMedium
Calculate month-over-month sales growth for each product category using JOINs and window functions.
JoinsAggregations
Recently asked
Evaluate Feature Success Metrics for New App UpdateMedium
Identify key metrics to assess the success of a new feature in a mobile app update and propose a metric evaluation strategy.
KPIsEngagement Metrics
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Getting Ready for Your Interviews

Preparation at RELX should be structured around demonstrating both your technical depth and your alignment with the company’s purpose-driven mission. Do not just focus on the "how" of your analysis; focus on the "why" and the impact your work had on the organization.

Role-related Knowledge – You must demonstrate mastery of data analytics best practices, research skills, and the ability to translate data into intelligence. Interviewers will look for evidence that you can handle large, complex datasets and maintain an impeccable eye for detail.

Problem-Solving & Communication – Because you will often present to senior stakeholders, you must be able to structure your thoughts clearly. Use the STAR method (Situation, Task, Action, Result) to ensure your answers are concise and focused on the value you delivered.

Cultural AlignmentRELX values individuals who are committed to making a unique contribution to society. Show that you understand the ethical responsibilities of working with sensitive information and that you can operate effectively within a highly collaborative, multidisciplinary team.

Interview Process Overview

The hiring process at RELX is rigorous and designed to assess both your technical competency and your ability to fit into a collaborative, cross-functional team. You should expect a progression that moves from high-level screenings to deep-dive technical assessments and, finally, to panel interviews where you will present your work.

This timeline illustrates the progression from the initial recruiter screen to final-round panel interviews. Candidates should interpret this as a commitment to a multi-stage evaluation; ensure you have sufficient time to prepare for both the technical test and the subsequent presentation, as these are often the "make-or-break" moments in the process.

Deep Dive into Evaluation Areas

Analytical Rigor

This area assesses your technical foundation. You are expected to demonstrate how you move from raw data to actionable insights.

Be ready to go over:

  • Data Integrity – How you verify data sources and ensure the accuracy of your outputs.
  • Methodology – The logic behind your choice of tools and statistical models.
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07 · Topic breakdown

What they actually test for

Topic distribution
All topics
Data Analytics (general)Identity Data Analytics / Subject Matter Expertise (SME)Communication (Senior Stakeholders)Identity Data (Data/Identity Concepts)Data Interpretation & Intelligence Delivery

Key Responsibilities

Your primary responsibility is to act as a Subject Matter Expert who rigorously investigates, interprets, and delivers intelligence. You will not work in a vacuum; you will collaborate with engineers, operational staff, and customers to ensure that the solutions you design address specific risks and challenges.

You will spend a significant portion of your time preparing and delivering impactful, professional solutions. This involves maintaining an in-depth knowledge of both internal and external data sources and being able to pivot rapidly when circumstances change. You are expected to be an active participant in strategic planning, helping the team anticipate future solution needs rather than just responding to current ones.

Role Requirements & Qualifications

A competitive candidate for the Data Analyst role at RELX demonstrates a balance of technical prowess and professional maturity.

  • Must-have skills:

  • Advanced working knowledge of data analytics best practices.

  • Exceptional research skills and an eye for detail.

  • Proven ability to convey complex information clearly to senior stakeholders.

  • Bachelors degree in a Scientific, Mathematical, or Computer field, or equivalent experience.

  • Experience working with multidisciplinary teams in operations, intelligence, or research.

  • Nice-to-have skills:

  • Experience in law enforcement, military, or federal government sectors.

  • Familiarity with identity data or risk assessment software.

  • Experience managing end-to-end client relationships.

Frequently Asked Questions

Q: How long does the hiring process usually take? The timeline varies, but from the initial screen to a final decision, it often spans 3–6 weeks. Be aware that communication can sometimes be slow, so maintain your momentum and follow up professionally if you haven't heard back within the expected timeframe.

Q: What is the best way to prepare for the technical exercise? Focus on your ability to structure your analysis logically. The exercise is less about finding a "perfect" answer and more about showing your thought process, your ability to handle data limitations, and how you communicate your final recommendations.

Q: Is the role fully remote? Many RELX roles, especially those involving government or sensitive data, require in-person attendance or a hybrid model. Always confirm the specific location requirements for your target office, as some roles are strictly on-site to ensure security and collaboration.

Other General Tips

  • Prioritize the "Why": In every answer, link your technical work back to the RELX mission of benefiting society and helping customers make better decisions.
  • Clarify Expectations: If you are asked to complete an analysis, ask clarifying questions about the audience and the desired outcome before you begin.
  • Manage Your Energy: The panel interviews and technical presentations are intensive; ensure you are well-rested for the 3-4 hour blocks often required in the final stages.

Summary & Next Steps

The Data Analyst role at RELX is a significant opportunity to apply your analytical skills to meaningful, real-world problems. By focusing on your ability to communicate complex data as a strategic tool, you will position yourself as a candidate who can hit the ground running.

Review the evaluation criteria outlined in this guide and ensure you have concrete examples prepared for each. Your ability to demonstrate both technical mastery and a deep understanding of the customer’s perspective will be the key to your success. You have the potential to make a real impact here—prepare thoroughly, stay confident, and leverage the insights provided to navigate your interview process effectively.

13 · Compensation

What this role pays

2 reports
USUSD
Estimated total compLow confidence · 2 data points
$0k-$0k
Median $230k / year
Base salary · 100%Stock (RSU) · 0%Cash bonus · 0%
25thEntry / smaller markets
$40k
50thTypical offer
$230k
90thTop performers / major metros
$420k
Breakdown by component
Base salary
100% of total
$40k$420k
$230k
median
Stock (RSU)
0% of total
$0$0
$0
median
Cash bonus
0% of total
$0$0
$0
median
Aggregated from 2 self-reported salaries via Glassdoor. Estimates only. Verify against your offer.

The compensation data provided reflects the broad range for RELX positions, which accounts for varying levels of seniority, geographic differentials, and specialized technical requirements. Use this range to understand the company's commitment to competitive pay, but always focus your salary negotiations on your specific experience and the value you bring to the team.

16 · FAQ

RELX Data Analyst interview FAQ

Answered from real candidate and compensation data
How hard is RELX hiring for a Data Analyst, and what does the difficulty look like for candidates?
Candidates report RELX Data Analyst interviews as average difficulty across 4 reported interviews. The process focuses on proving you can handle logical problem-solving and communicate clearly, rather than only demonstrating narrow technical recall.
How many rounds does RELX have for Data Analyst interviews, and what does the loop usually include?
In the reported sample, there are 4 interviews for RELX Data Analyst candidates. The described process moves from high-level screening, into deeper technical assessments, and then panel interviews where you present your work.
What topics get tested in RELX Data Analyst interviews?
Interview questions emphasize analytical and technical proficiency, including how you clean messy datasets, identify anomalies or trends with statistical methods, and validate findings before sharing with non-technical stakeholders. The guide also highlights stakeholder management, including explaining complex findings to senior leaders and prioritizing competing deadlines.
What are example questions RELX Data Analyst candidates can expect in the interview?
You may be asked about your motivation for repetitive work, and you may also be asked for role and project overview. The guide also describes patterns in interviews around analytical approach and communication, though the only verbatim examples provided are the two listed here.
What compensation range should I expect for a RELX Data Analyst role?
Compensation reports include a base minimum of $40,186 and a total maximum of $420,000, with pay varying by level and location. Candidates report figures, so your final offer can differ based on your specific fit and role tier.
What should I prioritize when preparing for a RELX Data Analyst interview?
Prioritize demonstrating analytical rigor, including data integrity checks, the methodology behind your choices, and how you turn results into client-ready reporting. Be ready to structure answers using STAR, and practice communicating complex findings clearly to non-technical stakeholders, since stakeholder management is a core evaluation area.