Ernst & Young Data Analyst interview questions & guide 2026

The following questions are representative of the patterns observed in EY interview processes. While specific inquiries will shift based on the department and seniority, these categories capture the core competencies we look for in a Data Analyst.

Technical Proficiency: SQL and Database Management

These questions test your ability to manipulate and extract data efficiently. You should be prepared to demonstrate mastery of complex queries.

• Can you explain the difference between an INNER JOIN and a LEFT JOIN?
• How would you write a query to find the second-highest salary in a table?

Success at EY requires a balanced approach. You are not just being measured on your ability to write code, but on your ability to act as a trusted advisor.

Technical Acumen – We look for clean, efficient, and logical code. You must be able to explain the "why" behind your technical choices, not just the "how."

Analytical Problem-Solving – You will be presented with ambiguous scenarios. Focus on your process: how you break a large problem into smaller, manageable components and validate your assumptions.

Client-Ready Communication – You must demonstrate that you can manage expectations and communicate findings clearly. Being able to simplify complex data into a narrative that supports a business goal is a key differentiator.

Professional Integrity – EY values honesty and accountability. Be prepared to talk about your mistakes and what you learned from them; we prioritize candidates who take ownership of their work.

The EY interview process is designed to be rigorous yet transparent. It typically begins with an HR screening to assess your background, motivation, and fit. Following this, you will move into technical rounds, which may include live coding assessments, analytical case studies, or quantitative finance questions. In certain regions, you may participate in group exercises or "shadowing" days, which allow you to interact with the team in a real-world setting.

We value a balanced assessment. You will likely meet with both technical leads and management, ensuring you are evaluated on both your hard skills and your ability to thrive within the firm’s collaborative culture.

The timeline above illustrates the progression from initial screening to final selection. Candidates should use this as a roadmap to pace their preparation, ensuring they are equally ready for both the technical assessments in the middle stages and the behavioral/managerial deep dives at the end.

SQL and Data Manipulation

This is the bedrock of your technical evaluation. We expect you to be comfortable with complex data structures and standard database functions.

• Be ready to go over: Joins, subqueries, CTE usage, and window functions.
• Advanced concepts: Query optimization, indexing, and handling large-scale data joins.
• Example scenarios: "Given two tables, how would you join them to identify records present in one but not the other?"

As a Data Analyst, you will be responsible for extracting, cleaning, and analyzing data to support client engagements. You will frequently work with large, complex datasets, requiring you to write efficient SQL queries and potentially use Python (Pandas) for data manipulation and analysis.

Beyond the technical execution, you are expected to participate in the design of analytical solutions. This involves meeting with stakeholders to understand their business requirements, documenting your methodology, and creating visual representations of your findings. You will often work in a team-based setting, meaning clear communication of your progress and any roadblocks is essential for project success.

A competitive candidate for the Data Analyst position at EY possesses a mix of analytical rigor and professional polish.

• Must-have skills: Proficiency in SQL (joins, window functions, CTEs), strong understanding of statistics, and experience with data visualization tools.
• Nice-to-have skills: Experience with Python (specifically Pandas), exposure to quantitative finance or modeling, and experience working in a client-facing or consulting environment.
• Soft skills: Excellent verbal and written communication, the ability to work under pressure, and a proactive approach to problem-solving.

Q: How difficult are the technical tests? The difficulty is generally reported as average to high. You should expect to be monitored during assessments, so ensure your environment is quiet and you are prepared to perform under observation.

Q: Does EY prioritize coding speed or accuracy? Accuracy and logical structure are prioritized over raw speed. We want to see how you think and how you verify your work before finalizing it.

Q: What is the best way to prepare for the behavioral portion? Use the STAR method (Situation, Task, Action, Result) to structure your answers. Focus on examples where you demonstrated initiative and teamwork.

Q: How long does the hiring process typically take? While it varies by location, the process from the initial screen to the final interview typically spans a few weeks. Stay engaged and responsive to the recruitment team.

• Understand the firm: Research EY’s recent initiatives and the specific service line you are applying to. Showing that you understand our business context is vital.
• Think aloud: During technical tests, talk through your thought process. Even if you don't reach the final solution, your logic is a major part of the evaluation.
• Prepare for the "Why EY" question: This is a standard opening. Have a thoughtful, specific answer that reflects your career goals and our firm's values.
• Master the basics: Do not overlook introductory SQL or statistical concepts. A strong foundation is often what separates successful candidates from the rest.

The Data Analyst role at EY offers a unique opportunity to apply your technical skills to high-impact, global business challenges. By mastering the core technical areas—particularly SQL—and demonstrating the ability to communicate your insights clearly to stakeholders, you will be well-positioned for success.

Preparation is your greatest asset. Use the insights provided here to structure your study, practice your technical skills, and refine your behavioral narratives. You can find additional resources and insights to further your preparation on Dataford. You have the potential to make a significant contribution at EY; stay focused, stay confident, and approach your interviews with a clear, analytical mindset.

The compensation data provided reflects market-based ranges for this role. Candidates should interpret these figures as a guideline, noting that total rewards packages often include performance-based bonuses, professional development support, and comprehensive benefits tailored to the specific region and level of experience.