Expedia Data Analyst interview typically runs multiple rounds: behavioral, business case, and technical interviews. It usually takes a few weeks and is structured, values-driven, and STAR-heavy.
$91K
Avg. Base Comp
$121K
Avg. Total Comp
4
Typical Rounds
3-5 weeks
Process Length
Our candidates report that Expedia is unusually values-driven and structured for a data analyst interview. The strongest signal isn’t whether you can recite a polished answer; it’s whether you can explain a mistake, a decision, or a tradeoff in a way that feels grounded and accountable. One candidate noted that the team cared as much about how the situation was framed as the outcome itself, which tells us they’re listening for maturity, self-awareness, and whether you can connect your experience back to Expedia’s culture without sounding rehearsed.
A recurring theme is that the business case is less about landing on one perfect answer and more about showing clear, logical thinking under pressure. We’ve seen candidates do best when they ask clarifying questions, narrate their approach, and keep the discussion practical. The technical side also appears to be selective rather than exhaustive: even when questions were easy, interviewers still wanted concrete examples of tools and real usage, with topics ranging from SQL to infrastructure and security concepts. That combination suggests Expedia is screening for analysts who can move comfortably between business context and technical detail, not just one or the other.
What makes or breaks candidates here is often communication quality. The process felt smooth and friendly, but the bar was still specific: can you stay concise, stay organized, and make your experience feel relevant to the role? Our read is that Expedia rewards candidates who sound like they’ve actually solved problems in a real environment, not just studied them.
Synthetized from 1 candidates reports by our editorial team.
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Real interview reports from people who went through the Expedia, Inc. process.
The interview felt pretty structured and very values-driven from the start. I went through a fairly extensive process with multiple rounds, and the biggest theme was STAR-style behavioral questions tied closely to Expedia’s company values. One of the first things they asked was to walk through a time I made a mistake and what I did afterward, and they seemed to care as much about how I explained the situation as about the actual answer. There was also a business case component, but it wasn’t about getting to one perfect solution so much as showing clear thinking, asking the right questions, and laying out my approach in a logical way.
What stood out to me was that the interviewers wanted to see how I communicated under pressure and whether I could connect my experience to the role in a practical way. The tone was smooth and friendly overall, and the questions were more situation-based than deeply technical, though there were still some technical topics depending on the interviewer. I was asked about my background and how I got started, and then the conversation moved into areas like SQL, Kubernetes, container security, and vulnerability assessments. Even when the questions were easy, they still wanted specific examples of tools I had used and how I had applied them. I didn’t get an offer, but the process felt fair and consistent. My main takeaway is to prepare concise STAR stories, be ready to talk through a business case out loud, and have concrete examples ready for the tools and technical areas listed in the job description.
Prep tip from this candidate
Prepare several STAR stories that map directly to company values, especially one about making a mistake and what you learned from it. Also practice explaining a business case out loud step by step, since they seemed to care more about your thought process than a single correct answer.
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Topics based on recent interview experiences.
Featured question at Expedia, Inc.
How would you assess the validity of the result?
| Question | |
|---|---|
| Random SQL Sample | |
| Completed Shipments | |
| Bagging vs Boosting | |
| Revenue Retention | |
| Significance Time Series | |
| Google Maps Improvement | |
| Hurdles In Data Projects | |
| Target Indices | |
| Lasso vs Ridge | |
| Average Commute Time | |
| Banner Ad Strategy Success | |
| Average Ride Duration | |
| Count Transactions | |
| Implementing the Fibonacci Sequence in Three Different Methods | |
| Bias vs. Variance Tradeoff | |
| Average Revenue per Customer | |
| Check Matching Parentheses | |
| String Palindromes | |
| Deciding Between Solutions | |
| Increase Search Ads | |
| Client Solution Pushback | |
| Best Performing Advertisers | |
| Boosting Instagram Stories | |
| Xgboost vs Random Forest | |
| Your Strengths and Weaknesses | |
| Evaluate News | |
| Docs Metrics | |
| 2nd Highest Salary | |
| Employee Salaries |
Synthesized from candidate reports. Individual experiences may vary.
The process appears to start with an initial conversation focused on your background, how you got started, and whether your experience fits the Data Analyst role. This stage is also used to gauge communication style and how well you connect your experience to Expedia’s values.
A values-driven round centered on STAR-style behavioral questions. Interviewers ask for specific examples such as a time you made a mistake and what you did afterward, with strong emphasis on how you explain your thinking and reflect on the situation.
Candidates are given a business case component where the goal is not a single perfect answer, but a clear, logical approach. Interviewers look for structured thinking, the ability to ask the right questions, and how you communicate your reasoning out loud under pressure.
This round includes technical topics that vary by interviewer, with questions touching on SQL and other tools or systems such as Kubernetes, container security, and vulnerability assessments. Even when the questions are straightforward, interviewers expect concrete examples of how you used the tools in practice.