Data Analyst Interview Questions
Practice the exact questions companies are asking right now.
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Find high-value crypto users and top CTR
You are given three tables. Assume all timestamps are stored in UTC. - users(user_id BIGINT PRIMARY KEY, create_date TIMESTAMP): one row per user acco...
Justify Using LLMs for Reporting
On your résumé, you claim that you built an automated pipeline using LangChain and an LLM to generate daily summary reports. The interviewer challenge...
Define Ultra success and detect suspicious transactions
Assume the following relevant columns are available, and all timestamps are stored in UTC: - users(user_id BIGINT PRIMARY KEY, create_date TIMESTAMP, ...
How would you handle common analyst workplace scenarios?
You are interviewing for an Analyst role. The online assessment (OA) focuses on behavioral/situational judgment and written communication rather than ...
Should a Restaurant Partner with Groupon?
A restaurant is deciding whether to partner with a daily-deals platform such as Groupon. Assume the restaurant's current business is: - 20 tables serv...
Write SQL for content-view analytics
Context You work with page-view event logs and need to compute several engagement/usage summaries. Assume a single table: page_views | column | type |...
Explain pricing fit and ETL architecture
You are interviewing for a Pricing Analyst / Data Analyst role at a food company. The interviewer is less interested in buzzwords and more interested ...
Why use LLMs for daily summaries?
On your résumé you say that you built an automated pipeline using LangChain and an LLM to generate daily summary reports. The interviewer challenges w...
Defend Fit and Data Infrastructure
You are interviewing for a Pricing Analyst role at a food company. You do not have direct pricing experience, but your background includes SQL/Python/...
Compute percent of first-cancelled users who never rebook
You are interviewing for a health-tech product analytics role. Assume the following table contains one row per appointment with its final status. Tabl...
Compute percent of first-cancel users who never return
You’re analyzing appointment behavior for a scheduling product. Table appointments - appointment_id (STRING, PK) - user_id (STRING) - scheduled_start_...
Debug row loss after SQL joins
You are reviewing a buggy SQL query used by a retail analytics team at a home-improvement company. The query is supposed to return daily promo sales f...
Should the mulch promotion continue?
A home-improvement retailer is running a seasonal promotion on bagged mulch. Business context - Regular price: $3.50 per bag - Promo price: $2.00 per ...
Write SQL for content view metrics by device
You are a reporting analyst for a news subscription product. You have a fact table of page/content view events. Assume the following table in Google B...