University of Chicago Data Analytics Intern
Chicago, IL·169 interview reviews·Hard difficulty
Data Analytics Intern Interview Reviews
169Had a recruiter screen first, then a technical round focused on system design and coding. The interviewer was very professional and walked through the problem step by step. Good overall experience.
“Longest Substring Without Repeating Characters - Find the length of the longest substring without repeating characters”
Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Best Time to Buy and Sell Stock - Find the maximum profit from buying and selling one share of stock”
Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Tell me about a time you disagreed with a decision and how you handled it”
Just one round with 2 LC hards in 45 min. It wasn't too bad at all — if you've done a lot of LC you're gonna be fine. Make sure to check off your approach with the interviewer before you begin implementing.
“Two Sum - Given an array of integers and a target, return indices of the two numbers that add up to target”
About This Role
Frequently Asked Questions
How hard is it to get hired as a Data Analytics Intern at University of Chicago?
The interview difficulty is rated 3.8/5 by candidates. 59% report a positive experience. Focus on Python, SQL, Statistics to improve your chances.
How long does the University of Chicago Data Analytics Intern hiring process take?
The process typically takes 2–6 weeks from application to final decision, depending on the hiring cycle and team availability.
What is the interview process like?
Most candidates go through a recruiter screen, followed by technical coding rounds, and a final interview loop. 72% of candidates applied online.
What questions are asked in a University of Chicago Data Analytics Intern interview?
Common topics include data structures & algorithms (arrays, trees, graphs), system design, and behavioral questions using the STAR method. Practice with our AI mock interviewer to prepare.
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