Deloitte Data Analyst interviews typically run 3 rounds: a recorded digital screen, a Versant communication test, and a technical interview. The process spans about 4–6 weeks and is distinguished by deep resume-anchored questioning alongside live coding.
$81K
Avg. Base Comp
$100K
Avg. Total Comp
3
Typical Rounds
4-6 weeks
Process Length
What stands out most across Deloitte's Data Analyst interviews is how heavily the process is anchored to your specific resume. This isn't a company that throws generic LeetCode problems at you and calls it a day. Multiple candidates report that interviewers went line by line through their CVs — if you listed SBert, expect to defend why you chose it over BERT. If you mentioned Excel, expect to be asked about it. The implicit contract here is: if it's on your resume, you own it completely.
The technical bar itself is moderate rather than grueling, but what trips candidates up is the combination of demands. One candidate noted that SQL fundamentals like joins and subqueries were mixed in alongside project deep-dives, Python live coding, and even domain-specific questions about healthcare. The live coding portion is particularly telling — Deloitte uses a plain online compiler with screen sharing, not a structured platform, which means you're coding in a more exposed, realistic environment. We've seen candidates lose points not because they didn't know the logic, but because syntax slipped under pressure after a period away from active coding.
The communication screens early in the process — whether a recorded video prompt or a Versant test — signal that Deloitte is filtering for clarity and professionalism before you ever reach technical questions. The candidates who perform best here treat every stage as a coherent narrative: they can explain what they built, why they built it that way, and what they'd do differently. That through-line from your resume to your reasoning is what Deloitte is really evaluating.
Synthetized from 2 candidates reports by our editorial team.
Had an interview recently?
Share your experience. Unlock the full guide.
Real interview reports from people who went through the Deloitte process.
My interview process started with a digital interview after I had applied, and it came about two weeks later. That first step was recorded, and I was told it could be recorded twice, with the responses reviewed by teams rather than AI. The main prompt was pretty open-ended: I had to talk about something outside of my resume, so it felt more like a short self-introduction and communication check than a technical screen.
After that, I moved into a technical round that was centered on my past projects and the details on my CV. The interviewer pushed for a deep explanation of the work I had done before, and I quickly realized they expected me to know my resume very well. There were also SQL questions mixed in, along with situational and case-based questions. In my case, the SQL portion included standard problem-solving topics like joins, group by, and subqueries, plus questions about handling large datasets and optimizing queries. I was also asked some basic Python and pandas questions, along with data cleaning concepts and the difference between INNER JOIN and LEFT JOIN.
What stood out to me was that the interview was not just about coding or SQL in isolation. They also asked about general healthcare topics, what I did in college, and even specifics from my CV such as Excel and other tools listed there. The overall difficulty was moderate, but it felt tougher because the interviewer expected strong command of both the technical basics and the story behind my past work. If you couldn’t explain your projects clearly or answer follow-up questions confidently, it seemed like that would hurt your chances quickly.
I didn’t get an offer from this process. My main takeaway is to know every line of your resume and be ready to explain your projects in depth, not just at a high level. For prep, I’d focus on SQL fundamentals, especially joins and subqueries, and make sure you can discuss your past work and any tools you listed on your CV without hesitation.
Prep tip from this candidate
Know every line of your resume and be ready to explain your past projects in depth, because the technical round leaned heavily on CV details plus follow-up questions. Also review SQL joins, group by, subqueries, and basic pandas/data cleaning so you can answer the technical add-ons confidently.
Share your own interview experience to unlock all reports, or subscribe for full access.
Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Deloitte
Select the 2nd highest salary in the engineering department
| Question | |
|---|---|
| Using R Squared | |
| Raining in Seattle | |
| Find Duplicate Numbers in a List | |
| Missing Housing Data | |
| Bagging vs Boosting | |
| Hurdles In Data Projects | |
| Assumptions of Linear Regression | |
| Bias vs. Variance Tradeoff | |
| Data Preparation for Imbalanced Data | |
| String Palindromes | |
| Swap Variables | |
| FAQ Matching | |
| Multicollinearity in Regression | |
| Classification and Regression | |
| Youtube Recommendations | |
| Simple Explanations | |
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| Data Cleaning Experiences | |
| Linear vs Logistic Regression | |
| Experiment Validity | |
| Sort Strings | |
| Revenue Retention | |
| Overfit Avoidance | |
| Slow SQL Query | |
| Algorithm Reliability | |
| Spam Classifier | |
| Stakeholder Communication | |
| Xgboost vs Random Forest |
Synthesized from candidate reports. Individual experiences may vary.
After applying, candidates receive a recruiter call approximately two weeks later. The recruiter asks basic introductory questions about your background, skills, and education, and informs you whether you've been shortlisted to move forward.
Shortlisted candidates complete either a recorded digital interview (responses reviewed by teams, not AI) or a Versant communication test evaluated by AI. Results are typically returned within a few hours, and passing is required before advancing to the technical round.
A virtual one-on-one interview covering a deep dive into your resume and past projects, SQL fundamentals (joins, subqueries, group by, query optimization), basic Python and pandas questions, and live coding exercises shared via screen. Interviewers expect strong command of every detail on your CV and may also ask situational or domain-specific questions relevant to the role.