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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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 | |
| Target Indices | |
| Lasso vs Ridge | |
| Average Commute Time | |
| Average Ride Duration | |
| Banner Ad Strategy Success | |
| Count Transactions | |
| Implementing the Fibonacci Sequence in Three Different Methods | |
| Bias vs. Variance Tradeoff | |
| Average Revenue per Customer | |
| Check Matching Parentheses | |
| String Palindromes | |
| Increase Search Ads | |
| Best Performing Advertisers | |
| Xgboost vs Random Forest | |
| Your Strengths and Weaknesses | |
| Evaluate News | |
| 2nd Highest Salary | |
| Employee Salaries | |
| User Experience Percentage | |
| Button AB Test | |
| 500 Cards | |
| First to Six | |
| Download Facts | |
| Delivery Estimate Model |
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.