Deloitte Data Analyst Interview Questions & Process (2025 Guide)

Employing over 460,000 people worldwide, Deloitte has had a 3.1% increase in revenue in the financial year ending in 2025 from the previous year. With more interest and investments in the cloud asset management, predictive analysis, and system automation, Deloitte is increasingly hiring data analysts to support the efforts in the Omni platform, Deloitte’s Tech Refresh operations, and deploying the Data Intelligence Platform. With the heightened demands and already affluent supply, the Deloitte data analyst interview questions are getting more complex and requiring a greater problem-solving approach. Before we discuss them, let’s reinforce your reasoning behind joining Deloitte as a data analyst.

Role Overview & Culture

As a data analyst at Deloitte, you’ll be mainly responsible for transforming raw data into actionable insights for clients across industries, and sometimes for Deloitte’s own products. Harvesting, cleaning, and integrating heterogeneous data from various sources is considered a critical day-to-day task for a data analyst at Deloitte. Some of the data comes from cloud platforms. Some comes from systems that are still on-site. You need to know how to handle both. Beyond creating dashboards and maintaining ETL processes, you’ll be required to act as a bridge between cross-functional teams, participating in agile ceremonies, and ELI5-ing complex data to stakeholders. Don’t forget documentation and QA as well.

Data analysts at Deloitte also work with a unique tech stack of more common tools like SQL, Python, R, Power BI, and advanced tools like Alteryx, Azure, Qlik, and Data Lake-specific tools. Gen-AI has become a part of the typical workflow as well in 2025. Deloitte’s culture is widely recognized as inclusive, collaborative, and performance-driven.

Why This Role at Deloitte?

Joining Deloitte as a data analyst means stepping into a role that combines innovation, purpose, and global impact. You’ll work alongside leading thinkers and use analytics and AI to solve complex problems for clients across industries. From public sector challenges to private sector growth strategies, the work you do will directly shape real outcomes. Project variety is a core part of the experience. You might support consulting for one month and shift to financial, risk, or legal analytics the next. This pace not only keeps the role engaging, but it also builds your technical and business skills quickly. It’s a natural environment for accelerated growth.

There’s also a strong emphasis on learning and career development. Analysts benefit from formal training, mentorship, and continuous upskilling through programs like the Deloitte Analytics Academy. The work culture stands out as well. Employees often mention the supportive teams, open communication, and inclusive mindset.

If you’re wondering what to expect, this breakdown of the Deloitte data analyst interview process walks through each stage. Here is an overview of the same:

• Application & Recruiter Screening
• Online Assessment / Aptitude Test
• Technical / Business Case Rounds
• Partner / Director Behavioral Round
• Pre-Employment Screening and Offer

Application & Recruiter Screening

You typically apply through Deloitte’s careers portal, even with a referral or recruiter outreach. You’ll need to create a user profile (using your email as your unique ID), fill in personal and academic details, upload your resume, and, if required, attach supporting documents. You can edit your application before the deadline.

After the application deadline, Deloitte’s recruiting professionals and hiring managers review your submission. They check your resume and profile for alignment with the job’s key requirements, such as relevant education, technical skills, and most importantly, experience. If your profile matches the requirements, you’ll be contacted by a Deloitte recruiter (or your campus placement office) regarding next steps, which could include an online assessment or a screening interview of 30 minutes over voice or video call. The recruiter screening round would verify your details about past experiences, projects, and motivation.

Online Assessment / Aptitude Test

If your role requires it, you may be asked to take an online assessment or aptitude test to demonstrate various aspects of your analytical and sometimes technical skills. The four main sections on this round are quantitative aptitude, logical reasoning, verbal ability, and tech fundamentals. Group discussions could be a part of the process as well.

The total number of questions varies from 50 to 70 problems, with a time limit of 90-95 minutes to answer them. No negative marking is awarded, and it’s typically taken in a proctored online mode.

Technical / Business Case Rounds

The technical and business case rounds at Deloitte are the most critical stages for data analyst candidates and typically span 60 to 90 minutes each. In the technical interview, you’ll meet face-to-face or virtually with one or more interviewers who assess your proficiency in SQL, Python, Excel, and data visualization tools like Tableau or Power BI.

Expect around 8 to 12 technical questions, ranging from writing queries to fetch the top three highest-paid employees, explaining how to handle missing values in a pandas DataFrame, and demonstrating your approach to data cleaning or regression analysis. You’ll also discuss your past analytics projects and may be asked to walk through your thought process.

The business case study round follows, where you’re given a real-world dataset or scenarios to maybe, say, identify customer behavior trends. You’ll have about 30 to 45 minutes to analyze the data, develop actionable recommendations, and present your findings to a panel. The panel will ask follow-up questions to probe your reasoning and challenge your assumptions. This is to test your ability to structure problems, communicate insights, and justify your recommendations. Sometimes, in a broader group discussion round, you may work in a group of 4–6 candidates to collaboratively solve a case.

Partner / Director Behavioral Round

The partner or director behavioral round at Deloitte is typically a conversational, 30 to 45-minute interview focused on your fit with the firm’s culture and values. You’ll be asked about your motivation for the role, why you want to join Deloitte, and how your experiences align with the company’s mission. Expect questions about challenges you’ve faced, how you work in teams, and examples of leadership or problem-solving. Partners may also revisit areas from earlier rounds or ask about your career goals, but the tone is generally relaxed. This is also your chance to ask thoughtful questions and demonstrate genuine interest.

Pre-Employment Screening and Offer

After your offer is approved and pre-employment screening is complete, a Deloitte Talent Acquisition representative will first extend a verbal offer. This is followed by a formal written contract that outlines your compensation, role, and other employment conditions. The written offer typically follows shortly after verbal confirmation.

If you are preparing for a technical round, these data analyst interview questions Deloitte commonly asks will test your skills in SQL, data transformation, and analytical thinking:

Technical / SQL & Data Questions

1. Write a query to select the top 3 departments with at least ten employees and rank them according to the percentage of their employees making over 100K in salary.

To solve this, join the employees and departments tables to get the necessary data. Use a GROUP BY clause on the department’s name and a HAVING clause to filter departments with at least ten employees. Calculate the percentage of employees making over 100K using an AVG function with a CASE WHEN clause, and order the results to get the top three departments.

2. Given a table of product subscriptions, write a query to determine if each user has overlapping subscription date ranges.

To solve this, use a self-join on the subscriptions table to compare each user’s subscription dates with others. The condition for overlap is that the start date of one subscription is less than or equal to the end date of another, and the end date of the first is greater than or equal to the start date of the second. Group by user_id and use a conditional aggregation to determine if any overlaps exist.

3. Write a query to show the number of users, number of transactions placed, and total order amount per month in the year 2020.

To solve this, join the transactions table with the products table to access the necessary fields. Use the COUNT function with DISTINCT to get the number of unique users and the total number of transactions. Calculate the total order amount by summing the product of quantity and price, and group the results by month.

4. Given a table of students and their SAT test scores, write a query to return the two students with the closest test scores with the score difference.

To solve this, perform a self-join on the scores table to compare each student’s score with every other student’s score. Use a condition to avoid comparing a student with themselves and to eliminate duplicate comparisons. Calculate the absolute score difference, order the results by the smallest difference, and select the first row to get the closest scores.

5. Given a users table, write a query to get the cumulative number of new users added by the day, with the total reset every month.

To solve this, first calculate the daily total of new users by grouping the users table by date. Then, perform a self-join on this daily total to compute the cumulative number of users, ensuring that the cumulative count resets at the start of each month by adding conditions to match the month and year.

Business Case & Data Insight Questions

These Deloitte analyst interview questions focus on product scenarios, KPI prioritization, and using data insights to guide business decisions:

6. We have a hypothesis that the CTR is dependent on the search result rating. Write a query to return data to support or disprove this hypothesis.

To test the hypothesis that CTR is dependent on search result ratings, we can calculate CTR for different rating buckets. By aggregating results based on rating thresholds and calculating CTR for each bucket, we can observe if higher ratings correlate with higher CTR, thus supporting or disproving the hypothesis.

7. Uber User Journey: How would you verify the frequency of wrong location pickup spots?

To verify the frequency of wrong location pickup spots, start by clarifying what constitutes a “wrong location” and consider potential causes such as GPS errors or app software issues. Develop a metric based on the total distance traveled by riders from the driver’s reported arrival to the car, using this as a proxy for incorrect pickup locations. Analyze the data for patterns that might indicate true positives (app errors) or false positives (driver errors), and use these insights to refine the understanding of the issue.

8. How would you design a system that offers college students recommendations to maximize the value of their education?

To design a system that maximizes the value of education for college students, you would need to analyze data on college programs, degrees, student finances, and alumni salary data. The system should evaluate the cost of education against potential earnings, factoring in financial aid and scholarships, to recommend programs that offer the best return on investment. Additionally, it should consider individual student preferences and career goals to tailor recommendations effectively.

9. How would you determine if the price of a Netflix subscription is truly the deciding factor for a consumer?

To determine if the price is the deciding factor, conduct surveys or interviews to gather consumer insights on their decision-making process. Analyze data on subscription trends, price changes, and competitor pricing to identify patterns. Additionally, perform A/B testing with different pricing models to observe consumer behavior and preferences.

10. Say you’re running an e-commerce website. You want to get rid of duplicate products that may be listed under different sellers, names, etc… in a very large database.

To address duplicate product names in a large database, you can use a combination of data cleaning and machine learning techniques. Start by normalizing product names using string matching algorithms to identify potential duplicates. Then, apply clustering or classification models to group similar products, and manually review these groups to confirm duplicates. This approach helps in efficiently identifying and removing duplicate entries from the database.

Behavioral & Culture-Fit Questions

In this final section, we look at Deloitte interview questions for analyst roles that explore your collaboration style, communication skills, and ethical judgment as a data analyst:

11. Describe a time you resolved a disagreement with a stakeholder over data interpretation.

In a Deloitte setting, you might encounter situations where stakeholders have different interpretations of data insights. Discuss a scenario where you had to present data objectively, perhaps using visualizations to clarify insights, and how you collaborated to find a mutually agreeable interpretation that aligned with business goals.

12. Explain how you’d collaborate with non-technical teams to implement a data-driven recommendation.

At Deloitte, data analysts often work cross-functionally. Share an example of how you communicated complex data insights to non-technical teams, using clear visualizations and presentations, to ensure successful implementation of a data-driven recommendation. Highlight your ability to tailor your communication to the audience’s needs.

13. How do you prioritize multiple deadlines?

Discuss your approach to managing multiple projects and deadlines at Deloitte. Explain how you assess the urgency and importance of tasks, use tools like calendars or task management software, and adjust priorities as needed to ensure timely and efficient project delivery.

14. How would you mentor a junior analyst struggling with complex SQL queries?

To mentor a junior analyst with SQL queries, start by assessing their current understanding and identifying specific areas of difficulty. Provide guidance through examples and hands-on practice, breaking down complex queries into simpler components. Encourage them to ask questions and explore resources, fostering a supportive learning environment.

15. How would you handle a request to manipulate data to make a campaign look successful?

At Deloitte, maintaining integrity and transparency is crucial. Discuss how you would handle such a request by adhering to ethical standards, explaining the importance of accurate data representation, and advocating for honest reporting to maintain trust and credibility with clients and stakeholders.

To succeed in a Deloitte data analyst interview, start by mastering the core technical skills Deloitte expects: SQL for querying and manipulating data, Python or R for analytics, and data visualization tools like Power BI or Tableau. Review the Deloitte data analyst interview questions and practice writing queries for real-world scenarios. Deepen your understanding of data analytics by studying common business problems and how data analytics Deloitte teams solve them—this will help you contextualize your technical answers and show business acumen.

Take advantage of Deloitte’s free data analytics certifications and virtual internships, which offer hands-on experience with real-world datasets and dashboards, and provide a certificate to boost your resume. Practice mock interviews for data analytics Deloitte roles, focusing on both technical and behavioral questions; use the STAR method to structure responses about past projects and challenges.

Prepare to discuss your motivation for joining Deloitte and your approach to teamwork and problem-solving, as these are common behavioral questions. Stay updated on the latest trends in analytics and AI, since Deloitte increasingly leverages cloud and generative AI tools in its projects. Finally, research Deloitte’s culture and values, and be ready with thoughtful questions for your interviewers to demonstrate genuine interest and preparation. Moreover, feel free to practice on our platform with AI Interviewer and personalized 1:1 coaching with experts.

What Is the Average Salary for a Data Analyst at Deloitte?

Where Can I Find Deloitte Data Analyst Discussion Threads on IQ?

You can explore interview experiences and Q&A threads from real candidates on the Interview Query community pages.

Are There Open Deloitte Data Analyst Roles on Interview Query?

Yes, new roles are added regularly. Visit the job board to browse current Deloitte data analyst openings.

Preparing for a data analyst role at Deloitte means building both technical strength and business fluency. While this guide covers the core interview process and example questions, a structured learning path will take your prep even further. Explore our Data Analyst Learning Path to build SQL, Python, and business case skills through curated modules.

If you’re unsure where to begin, browse our full Data Analyst SQL Questions Collection for real question walkthroughs and in-depth solutions.

Finally, find inspiration in our Success Story featuring Alma Chen, who landed their role after using Interview Query to prepare. You’re just a few steps away from joining them. All the best!