PwC Data Analyst candidates describe motivation-heavy interviews with reasoning or language screens, case or group exercises and, on some teams, SQL, Python or database design questions. Round counts and formats vary by team.
$105K
Avg. Base Comp
$110K
Avg. Total Comp
2-4 rounds
Typical Rounds
Not reported
Process Length
PwC data analyst interviews, as candidates describe them, lean harder on motivation and communication than on technical trivia, though the technical bar shifts by team. Several people were asked why PwC and why this specific role, and one was expected to explain what set the firm apart from the other Big Four firms. Have a short, specific answer ready.
Before the main interviews, some candidates faced screens that had little to do with analytics. One described abstract figure-rotation puzzles and a language round before meeting staff, and another completed an application form and documents ahead of a group assessment. In that group exercise, five to seven candidates worked a case while two assessors scored how they collaborated.
Technical questions are uneven. One candidate was asked to design a database from scratch, name matching cloud services and write SQL for a logistics scenario. Another faced a Fermi-style estimate of Netflix users, then questions on EDA, data modeling, machine learning models and Python, SQL and R, with particular attention to Python libraries and to presenting findings to stakeholders. Other candidates described interviews that stayed mostly on background and motivation, with little technical depth.
Behavioral questions covered conflict with a co-worker, a difficult decision, leading others, teamwork and your biggest achievement. Outcomes were mixed: offers, declined offers and rejections all appear. Practice a concise background walkthrough, a structured case approach spoken aloud, and a plain-language explanation of your analysis.
Synthesized from 14 candidate reports by our editorial team.
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Real interview reports from people who went through the Pwc process.
My interview experience at PwC was mixed. The application process itself was straightforward—I applied online and was moved forward to the interview stage. The questions themselves weren't overly difficult. I was asked why I wanted the position, and there was a question on optimization and consultancy where I had to give an example. The difficulty level felt reasonable for an analyst role with a year or two of experience, though I'll say some questions caught me off guard with how specific they got. The process involved a lot of steps, and several were automated, which is pretty standard in big company recruiting these days.
What really stood out negatively was the interview dynamic itself. The interviewer seemed dismissive and didn't appear to be genuinely listening to my answers. I wasn't even given the space to finish my sentences before they moved on, which made the whole conversation feel rushed and unfair. That kind of interview experience leaves a sour taste, regardless of the final outcome. At the end of it all, I declined the offer—partly because of how I was treated during the interview process, but also because the overall fit didn't feel right for me.
Prep tip from this candidate
The questions on optimization and consultancy concepts may seem broad, but they're looking for concrete examples—practice articulating a real project or problem you've solved. That said, be aware that interview quality can vary; if you sense disrespect or dismissal, trust your gut about whether the role is the right fit for you.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Pwc
Write a query to return the two students with the closest test scores and the score difference
| Question | |
|---|---|
| Experiment Validity | |
| Size of Joins | |
| Sort Strings | |
| Hurdles In Data Projects | |
| RAG Strict Source Control | |
| Slow SQL Query | |
| Data Pipelines and Aggregation | |
| Data Preparation for Imbalanced Data | |
| Overfit Avoidance | |
| Company Acquisition Choice | |
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| User Journey Analysis | |
| Data Cleaning Experiences | |
| Clustering Basketball Players | |
| Feedback Sentiment Analysis | |
| Creating Companies Table | |
| 2nd Highest Salary | |
| Rolling Bank Transactions | |
| Longest Streak Users | |
| Top 3 Users | |
| Raining in Seattle | |
| Maximum Profit | |
| Bagging vs Boosting | |
| Revenue Retention | |
| P-value to a Layman | |
| Fair Coin | |
| Normalize Grades | |
| Using R Squared |
Synthesized from candidate reports. Individual experiences may vary.
Candidates describe an online application followed by a recruiter or HR conversation about background and motivation. One called the HR round a relaxed 45-minute chat covering why they applied, what they learned at university and their biggest achievement, with room to ask their own questions.
One candidate described several phases before meeting staff. These included an abstract reasoning round with figures and rotations and a separate language round. Another completed an application form and documents before the group stage. Not every account mentions these steps, so ask your recruiter what to expect.
One candidate worked a group case with five to seven others while two assessors graded collaboration. Another received a Fermi-style estimate of Netflix users and was asked how that thinking could grow sales. Structuring the problem aloud seemed to matter most.
Technical content differed by candidate. One report covered database design, cloud services and logistics SQL. Another covered EDA, data modeling, machine learning and Python libraries. Others stayed largely on background and motivation. Managers also probed teamwork, pressure and past decisions, often from the resume.
Some candidates met a partner or director late in the process. One had back-to-back 30-minute interviews with a partner and a manager, described as friendly with aptitude-style questions. Another joined a group discussion with a partner in a restaurant. Expect questions on commitment and clear reasoning.
