KPMG Data Analyst Interview Questions (2026)

Landing a Data Analyst role at KPMG requires targeted preparation. KPMG interviews include behavioral assessments, technical evaluations, and sometimes group exercises. Audit roles test accounting knowledge and analytical precision. Advisory roles use case-based interviews. All candidates are evaluated on communication skills, integrity, and alignment with KPMG values of teamwork, respect, and continuous improvement. This guide covers the most frequently asked questions and insider tips to help you succeed in your KPMG Data Analyst interview.

About the KPMG Interview Process

KPMG interviews test professional expertise, ethical judgment, and the ability to deliver audit, tax, and advisory services to complex organizations.

KPMG interviews include behavioral assessments, technical evaluations, and sometimes group exercises. Audit roles test accounting knowledge and analytical precision. Advisory roles use case-based interviews. All candidates are evaluated on communication skills, integrity, and alignment with KPMG values of teamwork, respect, and continuous improvement.

Why KPMG Data Analyst Interviews Are Different

KPMG Data Analyst interviews differ from standard Data Analyst interviews in several key ways. The company has a unique interview culture, specific evaluation criteria, and expects candidates to demonstrate alignment with their values and mission. Understanding these differences gives you a significant advantage over other candidates.

Top 10 Data Analyst Interview Questions at KPMG

1. A common KPMG interview question: Write a SQL query to find the top 5 customers by revenue.
2. A common KPMG interview question: How do you clean and prepare data for analysis?
3. Expect this at KPMG: What data visualization tools have you used?
4. KPMG interviewers often ask: Describe a time your analysis uncovered an unexpected insight.
5. Expect this at KPMG: How do you determine which metrics matter for a business question?
6. A common KPMG interview question: Explain the difference between a left join and an inner join.
7. Expect this at KPMG: How do you handle conflicting data from different sources?
8. Expect this at KPMG: What is A/B testing and how do you evaluate results?
9. At KPMG, you might be asked: Describe your experience building dashboards and reports.
10. KPMG candidates should prepare for: How do you ensure data accuracy in your analyses?

KPMG-Specific Preparation Tips for Data Analyst Candidates

• Study audit procedures, accounting standards, and risk assessment for assurance roles
• Practice structured case interviews for advisory positions
• Research KPMG values and prepare stories demonstrating integrity and teamwork
• Show awareness of regulatory changes and their impact on businesses
• Prepare examples of working in diverse teams to solve complex client problems

General Data Analyst Interview Tips

• Master SQL — it comes up in almost every data analyst interview
• Practice creating compelling data visualizations
• Prepare examples of business impact from your analyses
• Be comfortable with Excel, Tableau, or Power BI

Preparation Timeline for KPMG Data Analyst Interviews

• 4 weeks before: Research KPMG culture, recent news, and the specific team you are applying to.
• 2-3 weeks before: Practice technical questions daily and prepare behavioral stories using the STAR method.
• 1 week before: Do full mock interviews with HireFlow AI simulating KPMG interview style.
• Day before: Review your notes, prepare questions for the interviewer, and get a good night of rest.

Practice KPMG Data Analyst Interview with HireFlow AI — our AI adapts to KPMG's interview style and gives real-time feedback.