They Data Analyst interview questions & guide 2026

The following questions are representative of the patterns observed in They interview processes. While specific inquiries will vary based on whether you are interviewing for a pricing, marketing, or business-focused role, these categories represent the core competencies the team evaluates.

Technical & Domain Proficiency

These questions test your ability to handle data and apply it to specific industry challenges, such as insurance risk or marketing performance.

• How would you identify segments of underperformance within a complex portfolio?
• Explain the difference between loss ratios and other key performance indicators (KPIs) in your previous work.

Preparation for They should be structured around demonstrating both technical depth and commercial maturity. Do not just focus on your ability to write code; focus on your ability to tell a story with that code.

Role-related knowledge – You must demonstrate a deep understanding of the specific domain, whether that is insurance pricing or digital marketing. Be prepared to discuss the specific KPIs that drive success in these areas and how you have influenced them in the past.

Problem-solving ability – Interviewers are looking for a structured approach. When presented with a case study, always define the problem, state your assumptions, explain your methodology, and—most importantly—articulate the commercial impact of your recommendation.

Communication and Influence – At They, you will be expected to present to senior stakeholders. Practice translating technical findings into clear, concise business language. Strong candidates can explain "what" the data shows and "why" it matters to the bottom line.

The interview process at They is designed to be rigorous but fair, reflecting the company’s commitment to data-driven hiring. You can expect a series of stages that move from initial screening to deeper technical assessments and, finally, stakeholder-focused interviews. The pace is generally efficient, with a clear focus on evaluating your potential to contribute immediately to their analytical roadmap.

The visual timeline above outlines the typical progression from an initial recruiter screen to final-round interviews. You should interpret this as a guide for managing your preparation energy—start with technical fundamentals early, then pivot to case studies and behavioral preparation as you approach the final stages.

Data Manipulation & Analysis

This area evaluates your hands-on ability to extract, clean, and analyze data. You must be comfortable with the tools of the trade and capable of handling messy, real-world datasets.

Be ready to go over:

• SQL/Python proficiency – Writing efficient queries and scripts to manipulate large datasets.
• Data Quality – How you validate data before basing strategic decisions on it.

As a Data Analyst at They, you will act as a bridge between the technical teams—such as modelling and engineering—and the business teams. You will spend your time translating complex performance data into actionable insights that inform rate changes, risk selection, or customer journey improvements.

Your daily work will involve owning your analytical roadmap, ensuring that data initiatives align with the broader company goals. You will be expected to identify trends, opportunities, and risks, often working with large, complex datasets to provide a clear view of market dynamics. Collaboration is not optional; you will frequently work with engineering teams to improve data availability and quality to support your analytical needs.

A strong candidate for this role possesses a blend of technical mastery and commercial acumen. While you need the technical skills to perform the analysis, your ability to apply those skills to business problems is what will set you apart.

• Must-have skills – Proficiency in SQL and/or Python, experience with BI tools (Tableau, Power BI, or Looker), and a proven track record of delivering insights that drove commercial outcomes.
• Nice-to-have skills – Experience in insurance pricing or digital marketing analytics, knowledge of statistical modelling, and experience mentoring junior team members.
• Experience level – Typically, this role requires several years of commercial experience in a data-rich environment, demonstrating your ability to handle complex projects from start to finish.

Q: How difficult are the technical assessments? A: They are practical and focus on real-world scenarios rather than abstract puzzles. You will be expected to demonstrate proficiency in your core tools, but the primary focus is on your ability to apply those tools to solve business problems.

Q: What differentiates a successful candidate? A: The most successful candidates are those who demonstrate "commercial curiosity." They don't just answer the question asked; they look for the underlying business need and suggest ways to improve the process or outcome.

Q: What is the culture like at They? A: They fosters a collaborative, values-driven environment. You will find that people are open to challenge and debate, provided it is backed by data and focused on delivering fair customer outcomes.

Q: How long does the process take? A: While timelines vary, you should generally expect the process to take several weeks, allowing time for multiple rounds of interviews and potential technical assessments.

• Structure your answers – Use the STAR method (Situation, Task, Action, Result) for behavioral questions to keep your responses focused and impactful.
• Focus on the "So What?" – Whenever you describe a technical accomplishment, immediately follow it up with the business impact it had.
• Research the business – Understand the products and markets They operates in, especially if you are interviewing for a specific niche like pricing or marketing.
• Prepare questions for them – Show your strategic mindset by asking about the analytical roadmap or how the team balances speed with accuracy.

The Data Analyst role at They is a high-impact position that offers a unique opportunity to influence the direction of a digitally-led business. By focusing on your ability to synthesize technical data into clear, commercial insights, you position yourself as a valuable partner to the business.

Preparation is key. Review your past projects, refine your ability to articulate your analytical process, and ensure you are ready to engage in constructive dialogue with your interviewers. You have the potential to make a significant impact here; use the resources available to you, stay focused, and approach your interviews with confidence.

The salary data above provides a broad overview of the compensation landscape for this position. Use this information to benchmark your expectations and ensure you are prepared to discuss compensation professionally when the time is right.