
Mckinsey & Company Data and Business Analytics interview typically runs 4 rounds: HR phone screen, online game, behavioral interview, and case interviews. The process can stretch over 3+ months and is notably consulting-style and case-heavy.
$103K
Avg. Base Comp
$130K
Avg. Total Comp
4-5
Typical Rounds
3+ months
Process Length
Our candidates consistently describe McKinsey’s Data and Business Analytics interviews as more consulting-like than analytics-only, and the biggest signal is how quickly the conversation moves from framing a problem to defending the numbers. Multiple candidates reported that the cases were math-heavy inside the business discussion, with interviewers pushing for calculations and quick quantitative reasoning rather than letting them stay at a high level. That means the bar is not just whether you can spot the right direction; it’s whether you can stay structured while doing live analysis under pressure.
A recurring theme is that McKinsey is also watching for influence and collaboration, not just analytical clarity. One candidate was asked about convincing a teammate who disagreed, while another was probed on a team challenge and how they handled it. Even the more introductory conversations still seemed to test whether candidates could explain their background crisply and connect it to client-facing work. We’ve seen that the strongest candidates are the ones who sound practical and composed, especially when the interviewer shifts from qualitative reasoning into arithmetic. In other words, McKinsey appears to reward people who can think like a consultant and analyze like an analyst at the same time.
Synthetized from 2 candidates reports by our editorial team.
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Real interview reports from people who went through the Mckinsey & Company process.
I went through a pretty classic consulting-style process, but it was more technical than I expected for a Data Analyst role. The first round was an HR phone call, which was straightforward and mostly about fit. After that, the next two rounds were the real interviews, and each one had two case studies packed into an hour. That meant the pace was fast, and there wasn’t much time to settle in before being asked to think through the problem, do the math, and explain my reasoning out loud.
What surprised me most was how much quantitative work was expected inside the cases. I was prepared for the usual consulting-style discussion, but mine leaned heavily on basic calculations and math-heavy analysis, alongside the qualitative side of the case. The interviewer would ask how I’d approach the situation and then push into the numbers pretty quickly. I also had a behavioral question about a challenge I faced in a team setting and how I handled it, so it wasn’t purely casework. Overall, it felt like the company wanted to see whether I could stay structured under pressure and move comfortably between business judgment and quick math. I didn’t get an offer, but the process was clear once it started: if you’re preparing, focus on casing practice and be ready to do calculations without much hand-holding.
Prep tip from this candidate
Practice time-pressured case interviews that combine qualitative reasoning with quick mental math, since the second and third rounds each had two one-hour case studies. Also prepare a concise team-conflict or collaboration story for the behavioral question.
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Topics based on recent interview experiences.
Featured question at Mckinsey & Company
Write a query to forecast each project's budget and label it overbudget or within budget
| Question | |
|---|---|
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| Underpricing Algorithm | |
| PCA and K-Means | |
| 2nd Highest Salary | |
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| Top Three Salaries | |
| Closest SAT Scores | |
| First Touch Attribution | |
| Experiment Validity | |
| Prime to N | |
| Largest Salary by Department | |
| First to Six | |
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| Raining in Seattle | |
| 500 Cards | |
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| Size of Joins | |
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| Project Budget Error |
Synthesized from candidate reports. Individual experiences may vary.
An initial phone call with HR or a recruiter to cover fit, background, and basic motivation for the Data Analyst role. Candidates reported this stage as straightforward and used to set expectations for the rest of the process.
Some candidates completed an online game before moving into case interviews. This appeared to be an early screening step in the process, though the exact format varied by candidate.
A more conversational round where candidates introduced themselves and walked through their background. This stage also included behavioral questions about teamwork, collaboration, and handling disagreement.
A McKinsey-style case interview with two case studies packed into an hour. The interviewer pushed quickly into quantitative analysis, expecting candidates to do calculations, explain their reasoning out loud, and stay structured under pressure.
A second case-heavy interview similar to the first, again featuring two cases in one hour. Candidates were tested on business judgment, math-heavy analysis, and the ability to move between qualitative discussion and quick calculations.