Relx Product Analyst Interview Guide

Getting ready for a Product Analyst interview at Relx? The Relx Product Analyst interview process typically spans 4–6 question topics and evaluates skills in areas like data modeling, business analytics, experimental design, dashboard creation, and translating complex insights for stakeholders. Interview preparation is especially important for this role at Relx, as candidates are expected to demonstrate a strong ability to analyze product performance, recommend actionable strategies, and communicate findings effectively to both technical and non-technical audiences within a dynamic and innovation-driven environment.

In preparing for the interview, you should:

• Understand the core skills necessary for Product Analyst positions at Relx.
• Gain insights into Relx’s Product Analyst interview structure and process.
• Practice real Relx Product Analyst interview questions to sharpen your performance.

At Interview Query, we regularly analyze interview experience data shared by candidates. This guide uses that data to provide an overview of the Relx Product Analyst interview process, along with sample questions and preparation tips tailored to help you succeed.

RELX is a global provider of information-based analytics and decision tools for professional and business customers across industries such as science, law, risk, and business. Through its brands—including LexisNexis, Elsevier, and Risk & Business Analytics—RELX delivers data-driven insights that help organizations make informed decisions and operate more efficiently. The company is known for its commitment to innovation, leveraging advanced technologies like artificial intelligence and big data analytics. As a Product Analyst, you will contribute to RELX’s mission by analyzing product performance and user needs, supporting the development of impactful digital solutions for its diverse customer base.

As a Product Analyst at Relx, you will focus on gathering and interpreting data to inform product development decisions across the company’s digital information and analytics solutions. Your responsibilities include tracking product performance, analyzing user behavior, and identifying opportunities for improvement or innovation. You will collaborate with product managers, engineers, and marketing teams to translate insights into actionable recommendations, supporting the creation and refinement of products that meet customer needs. This role is essential in ensuring Relx delivers high-value, data-driven solutions to its clients, contributing directly to the company’s mission of advancing knowledge and enabling informed decisions.

2.1 Stage 1: Application & Resume Review

The initial step involves a thorough review of your application materials, focusing on your experience with product analytics, data-driven decision making, and proficiency in key technical tools such as SQL, data visualization platforms, and statistical analysis. The Relx recruiting team screens for candidates who demonstrate strong business acumen, an understanding of user behavior, and a track record of translating complex data into actionable insights for product improvement. To prepare, ensure your resume clearly highlights your analytical impact, relevant product-focused projects, and familiarity with experimentation and dashboard design.

2.2 Stage 2: Recruiter Screen

The recruiter screen typically consists of a 30-minute phone or video call with a Relx talent acquisition specialist. This conversation will assess your motivation for joining Relx, your understanding of the product analyst role, and your ability to communicate technical concepts to non-technical stakeholders. You should be ready to discuss your background, clarify your interest in product analytics, and articulate how your skills align with Relx’s mission and products. Preparation should include concise stories that showcase your strengths in data analysis, cross-functional collaboration, and business impact.

2.3 Stage 3: Technical/Case/Skills Round

This round is usually conducted by a product analytics manager or a senior analyst and may involve a combination of live technical questions, take-home case studies, or practical exercises. Expect scenarios that require you to design data warehouses, model merchant acquisition, analyze user journeys, evaluate A/B testing results, and build dashboards for performance tracking. You'll need to demonstrate proficiency in SQL, statistical reasoning, experimentation design, and the ability to interpret complex datasets to inform product strategy. Preparation should focus on practicing end-to-end analytical problem solving, presenting clear methodologies, and justifying metric selection for business decisions.

2.4 Stage 4: Behavioral Interview

Led by a hiring manager or cross-functional team member, the behavioral interview assesses your ability to navigate challenges, communicate insights, and work collaboratively. You’ll be asked to reflect on past experiences, including how you overcame hurdles in data projects, presented findings to different audiences, and balanced competing priorities such as customer sentiment versus revenue. Preparation involves structuring your responses around the STAR (Situation, Task, Action, Result) method and emphasizing adaptability, stakeholder management, and product intuition.

2.5 Stage 5: Final/Onsite Round

The final stage typically consists of multiple interviews (virtual or onsite) with product leaders, data team members, and sometimes business partners. These sessions dive deeper into your approach to product analytics, your ability to influence product direction, and your skills in designing experiments and interpreting results. You may be asked to walk through previous projects, critique business scenarios, or collaborate on live problem-solving exercises. Preparation should focus on articulating your product thinking, demonstrating impact through data, and showing your ability to tailor insights for diverse audiences.

2.6 Stage 6: Offer & Negotiation

After successful completion of the interview rounds, the Relx recruiting team will extend an offer and initiate compensation discussions. This phase involves negotiating salary, benefits, and start date, typically with a recruiter or HR representative. Preparation should include awareness of market benchmarks, clarity on your priorities, and readiness to discuss your value proposition as a product analyst.

2.7 Average Timeline

The typical Relx Product Analyst interview process spans 3 to 5 weeks from application to offer. Candidates with highly relevant experience and strong alignment with Relx’s product analytics needs may progress through the process in as little as 2 weeks. Standard pacing allows for a few days to a week between each round, with technical or case assignments generally allotted 3-5 days for completion. Onsite or final rounds are scheduled based on team availability and candidate preference.

Next, let’s dive into the specific interview questions you can expect during the Relx Product Analyst interview process.

3.1. Product Experimentation & Business Impact

Product analysts at Relx are expected to rigorously evaluate business experiments and translate findings into actionable recommendations. These questions assess your ability to design tests, select appropriate metrics, and analyze outcomes in a way that supports strategic decisions.

3.1.1 You work as a data scientist for a ride-sharing company. An executive asks how you would evaluate whether a 50% rider discount promotion is a good or bad idea? How would you implement it? What metrics would you track?
Describe how you would set up an experiment (such as an A/B test), define success metrics (e.g., conversion rate, retention, profitability), and monitor for unintended consequences. Emphasize a data-driven, methodical approach.

3.1.2 How to model merchant acquisition in a new market?
Explain the process of identifying relevant features, selecting a modeling approach, and validating your results. Discuss how you would use external and internal data, and how you’d iterate based on early findings.

3.1.3 How would you evaluate whether to recommend weekly or bulk purchasing for a recurring product order?
Outline the key metrics to compare (e.g., cost, customer satisfaction, operational efficiency), and describe how you would structure your analysis to support a clear recommendation.

3.1.4 Cheaper tiers drive volume, but higher tiers drive revenue. Your task is to decide which segment we should focus on next.
Discuss how you would balance growth and profitability, and what data you would analyze to make a strategic recommendation.

3.1.5 Let’s say that you're in charge of an e-commerce D2C business that sells socks. What business health metrics would you care?
List and justify the core business metrics you would track, such as repeat purchase rate, average order value, and customer lifetime value.

3.2. Data Modeling & Analytics

These questions evaluate your technical ability to design systems and perform analyses that support scalable data-driven decision-making. Expect to discuss data modeling choices, metric definitions, and how to translate business questions into analytical frameworks.

3.2.1 Design a data warehouse for a new online retailer
Describe the schema you would use, key tables and relationships, and how your design supports both operational and analytical queries.

3.2.2 How would you design a data warehouse for a e-commerce company looking to expand internationally?
Explain considerations for supporting multiple currencies, languages, and regional compliance, while ensuring performance and scalability.

3.2.3 Design a dashboard that provides personalized insights, sales forecasts, and inventory recommendations for shop owners based on their transaction history, seasonal trends, and customer behavior.
Discuss your approach to dashboard KPIs, user experience, and how you would use data to generate actionable recommendations.

3.2.4 Design a database for a ride-sharing app.
Outline key entities and relationships (e.g., users, rides, payments), and explain how your schema supports analytics and reporting.

3.2.5 Design a data pipeline for hourly user analytics.
Describe the architecture, key transformations, and how you would ensure data quality and timeliness.

3.3. Metrics, Reporting & Data Interpretation

Relx Product Analysts must be adept at defining, calculating, and interpreting business metrics. These questions probe your ability to structure queries, synthesize results, and communicate findings that drive product decisions.

3.3.1 Calculate daily sales of each product since last restocking.
Explain how you would structure the query, handle edge cases, and present the results for business use.

3.3.2 We're interested in how user activity affects user purchasing behavior.
Describe the analysis you would conduct, including data sources, key metrics, and potential confounding variables.

3.3.3 What kind of analysis would you conduct to recommend changes to the UI?
Outline how you would use user journey data, define success criteria, and prioritize recommendations.

3.3.4 How would you analyze how the feature is performing?
Discuss the metrics you would track, how you’d design the analysis, and how you’d interpret the results to inform product decisions.

3.3.5 The role of A/B testing in measuring the success rate of an analytics experiment
Explain how you would design the experiment, choose appropriate metrics, and evaluate statistical significance.

3.4 Behavioral Questions

3.4.1 Tell me about a time you used data to make a decision.
Describe the situation, the data you analyzed, and how your recommendation impacted the business outcome.

3.4.2 Describe a challenging data project and how you handled it.
Share the obstacles you faced, how you overcame them, and what you learned in the process.

3.4.3 How do you handle unclear requirements or ambiguity?
Explain your approach to clarifying objectives, communicating with stakeholders, and iterating on solutions.

3.4.4 Tell me about a time when your colleagues didn’t agree with your approach. What did you do to bring them into the conversation and address their concerns?
Detail how you fostered collaboration, listened to feedback, and worked toward a consensus.

3.4.5 Give an example of when you resolved a conflict with someone on the job—especially someone you didn’t particularly get along with.
Highlight your conflict resolution skills and how you maintained professionalism.

3.4.6 Talk about a time when you had trouble communicating with stakeholders. How were you able to overcome it?
Discuss strategies you used to bridge communication gaps and ensure alignment.

3.4.7 Tell me about a time you delivered critical insights even though 30% of the dataset had nulls. What analytical trade-offs did you make?
Describe your approach to handling missing data, the methods you used, and how you communicated limitations.

3.4.8 Share a story where you used data prototypes or wireframes to align stakeholders with very different visions of the final deliverable.
Explain how you used visual tools and iterative feedback to drive alignment and clarity.

3.4.9 Describe a situation where two source systems reported different values for the same metric. How did you decide which one to trust?
Walk through your process for data validation, reconciliation, and communicating your decision.

4.1 Company-specific tips:

Familiarize yourself with Relx’s diverse portfolio, including major brands like LexisNexis and Elsevier, and understand how their products leverage data analytics to deliver value in industries such as science, law, and risk management. Study recent Relx product launches and technological innovations, with a focus on how analytics and decision tools are integrated into their offerings to drive customer outcomes.

Gain a clear understanding of Relx’s mission to use information-based analytics for better decision-making. Be prepared to discuss how your analytical work can directly support this mission, whether by improving product usability, increasing customer retention, or identifying new business opportunities.

Demonstrate an awareness of Relx’s customer base and the unique challenges they face. In interviews, reference how data-driven insights can empower professionals in fields like legal research, scientific publishing, or risk analysis to make more informed decisions. This will show your ability to connect product analytics to real-world impact.

Highlight your adaptability and collaborative mindset. Relx values cross-functional teamwork, so be ready to discuss examples of how you’ve worked effectively with product managers, engineers, and business stakeholders to turn complex data into actionable recommendations.

4.2 Role-specific tips:

Showcase your proficiency in data modeling by discussing how you would design scalable data warehouses or databases to support Relx’s products. Be ready to explain your approach to structuring data for both operational efficiency and advanced analytics, including your rationale for schema design and metric selection.

Practice articulating your process for defining and tracking key product metrics. Relx Product Analysts are expected to identify the right KPIs to measure product health and user engagement. Prepare examples of how you’ve chosen, calculated, and interpreted metrics such as retention rate, conversion rate, and customer lifetime value to inform product decisions.

Brush up on your skills in experimental design and A/B testing. Be prepared to walk through how you would set up experiments to evaluate new features, promotions, or user interface changes, including your strategy for selecting control and test groups, defining success criteria, and interpreting statistical significance.

Demonstrate your ability to build insightful dashboards and reports tailored to diverse audiences. Talk about your experience creating visualizations that translate complex analytics into clear, actionable insights for both technical and non-technical stakeholders. Highlight how you prioritize clarity and usability in your dashboard designs.

Emphasize your business acumen by explaining how you balance product growth and profitability. Be ready to discuss scenarios where you had to recommend strategies that weighed user acquisition against revenue generation, and how you used data analysis to support your recommendations.

Prepare to discuss how you handle ambiguous or incomplete data. Relx values analysts who can navigate messy datasets, make reasonable assumptions, and clearly communicate the limitations of their findings. Share examples where you managed data quality issues and still delivered valuable insights.

Show your communication skills by practicing concise, structured responses to behavioral questions. Use the STAR method to illustrate how you’ve influenced product direction, resolved stakeholder disagreements, or aligned teams with different visions using data prototypes or wireframes.

Finally, be ready to demonstrate your end-to-end analytical thinking. Relx interviews often include case studies or practical exercises—practice breaking down complex business problems, outlining your analytical approach, and justifying your decisions at each step. This will showcase your ability to drive impact as a Product Analyst at Relx.

5.1 How hard is the Relx Product Analyst interview?
The Relx Product Analyst interview is moderately challenging and designed to assess both your technical and business acumen. You’ll be tested on data modeling, experimental design, dashboard creation, and your ability to translate complex insights for diverse stakeholders. Candidates who excel at connecting analytics to real business outcomes and can communicate findings clearly tend to stand out.

5.2 How many interview rounds does Relx have for Product Analyst?
Typically, there are five to six rounds: an initial resume review, recruiter screen, technical/case/skills interview, behavioral interview, and a final onsite or virtual round. Each stage evaluates a different aspect of your fit for the role, from technical skills to cross-functional collaboration.

5.3 Does Relx ask for take-home assignments for Product Analyst?
Yes, Relx often includes a take-home case study or technical assignment as part of the process. These exercises usually focus on product analytics scenarios, such as designing experiments, analyzing product performance, or building dashboards to inform strategic decisions.

5.4 What skills are required for the Relx Product Analyst?
Key skills include SQL proficiency, data modeling, business analytics, experimental design, dashboard creation, and strong communication abilities. You should be comfortable analyzing product performance, recommending actionable strategies, and presenting insights to both technical and non-technical audiences. Experience with A/B testing, KPI selection, and handling ambiguous data are also highly valued.

5.5 How long does the Relx Product Analyst hiring process take?
The typical timeline is 3 to 5 weeks from application to offer. Some candidates may progress faster, especially if their experience aligns closely with Relx’s needs. Time between rounds varies, but technical or case assignments generally allow 3-5 days for completion.

5.6 What types of questions are asked in the Relx Product Analyst interview?
Expect a mix of technical and business-focused questions. Topics include designing data warehouses, modeling user acquisition, interpreting A/B test results, defining product health metrics, and analyzing user journeys. Behavioral questions will probe your collaboration, communication, and adaptability in ambiguous situations.

5.7 Does Relx give feedback after the Product Analyst interview?
Relx typically provides feedback through recruiters, especially if you progress to later stages. While detailed technical feedback may be limited, you’ll generally receive insights into your overall performance and fit for the role.

5.8 What is the acceptance rate for Relx Product Analyst applicants?
While specific rates aren’t public, the Product Analyst role at Relx is competitive, with an estimated acceptance rate of 3-6% for qualified applicants. Strong technical skills, business intuition, and clear communication set successful candidates apart.

5.9 Does Relx hire remote Product Analyst positions?
Yes, Relx offers remote opportunities for Product Analysts, depending on team needs and business units. Some roles may require occasional onsite visits for collaboration, but remote work is increasingly common within the company’s global teams.

• Related guides:
  • Relx interview questions
  • Product Analyst interview guide
  • Top product analyst interview tips

Ready to ace your Relx Product Analyst interview? It’s not just about knowing the technical skills—you need to think like a Relx Product Analyst, solve problems under pressure, and connect your expertise to real business impact. That’s where Interview Query comes in with company-specific learning paths, mock interviews, and curated question banks tailored toward roles at Relx and similar companies.

With resources like the Relx Product Analyst Interview Guide and our latest case study practice sets, you’ll get access to real interview questions, detailed walkthroughs, and coaching support designed to boost both your technical skills and domain intuition. Dive into scenarios on data modeling, business analytics, experimental design, dashboard creation, and stakeholder communication—exactly what Relx looks for in their Product Analyst candidates.

Take the next step—explore more case study questions, try mock interviews, and browse targeted prep materials on Interview Query. Bookmark this guide or share it with peers prepping for similar roles. It could be the difference between applying and offering. You’ve got this!

Recommended resources for your Relx Product Analyst prep: - Relx interview questions - Product Analyst interview guide - Top product analyst interview tips