Analysis Group Data Analyst interview typically runs 2 rounds: a 30-minute virtual first round and an in-office super day with six interviews. The process usually takes about 1-2 weeks and is detail-heavy, with pointed follow-ups.
$148K
Avg. Base Comp
$213K
Avg. Total Comp
2
Typical Rounds
1-2 weeks
Process Length
We've seen Analysis Group lean hard on depth over polish. One candidate said the hardest part was not the difficulty of the questions, but how detailed every answer needed to be. That shows up in the way they probe project work: they don’t stop at a high-level summary, and they keep pushing until they understand the reasoning, the technical choices, and how the analysis was actually done. For a Data Analyst, that means the bar is less about sounding impressive and more about being able to walk someone through your work in a way that holds up under pointed follow-ups.
A recurring theme is that Analysis Group seems to care a lot about whether candidates can translate technical work into plain language. Our candidates report being asked how they would communicate complex economic ideas to non-technical audiences, alongside questions about data cleaning, economic research, and teamwork. That combination tells us they’re looking for people who can operate in a consulting environment where clarity matters as much as analysis. The strongest candidates are the ones who can explain not just what they did, but why it mattered and how they would make it understandable to a client or colleague.
We also see a very specific fit signal: they want a convincing, grounded answer for why economics consulting and why Analysis Group. The atmosphere may be friendly, but the follow-ups are pointed, so vague enthusiasm doesn’t go far. Candidates who did best came in with concrete examples of juggling priorities, collaborating across teams, and handling detailed project discussions without losing the thread. In other words, they’re screening for analytical maturity and communication discipline, not just general interest in consulting.
Synthesized from 1 candidate report by our editorial team.
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Real interview reports from people who went through the Analysis Group process.
The process at Analysis Group is refreshingly straightforward — just two rounds, which I appreciated since I didn't have to juggle multiple interview days or endless callbacks. The first round was a video call where the recruiter was genuinely nice and seemed more interested in getting to know me than playing gatekeeper. They focused on my background: whether I had any data analysis experience, if I'd taken coding courses, and how I worked in team settings. It felt more conversational than adversarial, and they asked me to walk through a research or data analysis project I'd done. I talked through my process, what tools I used, and what I learned, and they dug into the specifics without being condescending.
The second round was a superday-style event where I came in and cycled through conversations with people at different levels of the company. That was the part that actually tested my depth. The questions stayed straightforward on the surface — tell me about yourself, talk through your experience — but the follow-ups got into territory I hadn't fully expected. They wanted to know how my work connected to economics and statistics, and they asked some niche questions that really required me to think about econometrics and research methodology. It wasn't a leetcode grind or a surprise curve ball, but it did push me to articulate my thinking in ways that went beyond the typical behavioral interview. The whole vibe felt collegial rather than interrogative, which made it easier to be genuine. I walked out with an offer.
Prep tip from this candidate
Brush up on econometrics and research methodology fundamentals before the superday — the follow-ups dig into those areas more than standard behavioral prep would suggest, and you'll want to be able to speak credibly about how data analysis connects to economic reasoning.
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Topics based on recent interview experiences.
Featured question at Analysis Group
Select the 2nd highest salary in the engineering department
| Question | |
|---|---|
| Top Three Salaries | |
| Rolling Bank Transactions | |
| Closest SAT Scores | |
| Employee Salaries | |
| Prime to N | |
| Largest Salary by Department | |
| First Touch Attribution | |
| Experiment Validity | |
| First to Six | |
| Top 3 Users | |
| Raining in Seattle | |
| Find the Missing Number | |
| Bagging vs Boosting | |
| 500 Cards | |
| Size of Joins | |
| Over-Budget Projects | |
| Month Over Month | |
| Encoding Categorical Features | |
| Longest Streak Users | |
| Maximum Profit | |
| Paired Products | |
| Swipe Precision | |
| P-value to a Layman | |
| Hurdles In Data Projects | |
| Project Budget Error | |
| Minimum Change | |
| Impression Reach | |
| Bank Fraud Model | |
| Booking Regression |
Synthesized from candidate reports. Individual experiences may vary.
A 30-minute virtual interview with two employees that focused on behavioral and fit questions. They spent time on the candidate’s background, interest in Analysis Group, and motivation for economics consulting, while also asking for a detailed walkthrough of one data project and the technical reasoning behind it.
Within the initial interview, the candidate was pushed to explain a past data project in detail rather than at a high level. The interviewers wanted clear, step-by-step explanations of the technical work and how the candidate would communicate complex economic ideas to a non-technical audience.
An in-office super day with six interviews across different people in the organization. The conversations were still mostly behavioral, but they covered why Analysis Group, why economics consulting, data analysis, data cleaning, economic research, teamwork, multitasking, and pointed follow-up questions throughout.
The final stage appeared to be the cumulative assessment from the super day, where interviewers evaluated how well the candidate handled detailed follow-ups and explained their work. The process emphasized clarity, depth, and the ability to make technical or economic concepts understandable to others.
