PwC Data Analyst interviews reported here combine motivation and behavioral conversations with variable assessments, cases, and role-specific technical discussion such as SQL, database design, or business analysis.
$102K
Avg. Base Comp
$115K
Avg. Total Comp
2-4 rounds
Typical Rounds
4-4 weeks
Process Length
PwC Data Analyst candidates should prepare for a process that can test both communication and applied analytical judgment. Across the reports, motivation and behavioral answers recur more consistently than one universal technical screen: candidates were asked why PwC, why the role, to walk through their background, and to discuss teamwork, conflict, leadership, or achievements. Have concise examples that connect your experience to the position rather than relying on a generic company answer.
Technical content varies materially by team. One candidate described SQL written for a logistics scenario and a database-design discussion. Other reports instead centered on audit or accounting fundamentals, or a business case involving fluctuation analysis. Prepare to explain your reasoning aloud, state assumptions, and turn analysis into a clear business recommendation.
Several candidates also encountered assessments or group formats, including numerical and logical reasoning, abstract figure rotations, language exercises, and collaborative case work. Practice communicating a structured approach under pressure and contributing clearly in a group. Because reports differ by role and location, expect the mix of technical, case, and assessment elements to vary.
Synthesized from 11 candidate reports by our editorial team.
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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 | |
| Normalize Grades | |
| Fair Coin | |
| Using R Squared |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report HR or initial conversations focused on why PwC, why the specific role, prior experience, achievements, and professional goals. These discussions were often described as friendly or conversational, but clear and specific explanations of motivation were still expected.
Some candidates report numerical and logical reasoning, abstract figure-rotation exercises, language or English tests, competency tests, or timed video answers. These elements are not universal, but they suggest practicing concise reasoning and calm communication under a time limit.
Reported technical content ranges from SQL and database design to estimation, data practices, audit fundamentals, SAP, accounting standards, or a business case. Candidates may be asked to explain assumptions, write or discuss an approach, and translate analysis into a recommendation.
Candidates report later conversations with managers, directors, or partners that probe teamwork, conflict, leadership, stakeholder communication, pressure, and role fit. One report described a partner and manager as back-to-back conversations, while another described a final partner round.
