Business Intelligence Engineer 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."
Identify Top-Buying Customers Daily with SQL Query
PRIME +-------------+------------+----------+ | Customer_ID | Start_Date | End_Date | +-------------+------------+----------+ | 1 | 2025-01-...
Analyze Top Book Sales and Unique Customer Purchases
BOOK_TRANSACTION +---------------+------------+-------------+------+----------+ | MARKETPLACE_ID| TXN_DAY | CUSTOMER_ID | ASIN | QUANTITY | +------...
Identify Top-Buying Customers Daily with SQL Query
PRIME +-------------+------------+----------+ | Customer_ID | Start_Date | End_Date | +-------------+------------+----------+ | 1 | 2025-01-...
Identify Employees with Invalid Department References
EMPLOYEE +-----+-----+--------+ | eid | did | ename | +-----+-----+--------+ | 1 | 10 | Alice | | 2 | 11 | Bob | | 3 | 99 | Carol | +--...
Illustrate SQL Join Results with Duplicate Keys
TABLE1 +------+ | col1 | +------+ | 1 | | 1 | | 1 | +------+ TABLE2 +------+ | col1 | +------+ | 1 | | 1 | | 1 | | 1 | | 1 |...
Identify Most Popular First-Watched Movie in Viewing History
MOVIE_VIEWS +------------+--------------------+------------+ | customer_id| title | date | +------------+--------------------+-----...
Create Monthly Revenue Report for Each Department
DEPARTMENT_REVENUE +------------+---------+-------+ | Department | Revenue | Month | +------------+---------+-------+ | A | 8000 | Jan |...
Calculate Rolling 7-Day Sum of Answers by Device
ANSWERS +------------+--------+---------+ | date | device | answers | +------------+--------+---------+ | 2019-01-01 | echo | 10 | | 2019...
Identify Customers Purchasing Every Product in Catalog
X_PURCHASES +-------------+---------+ | customer_id | pro_key | +-------------+---------+ | 1 | A | | 1 | B | | 2 ...
Calculate Weekly Event Sums from Daily Counts
EVENT_LOG +------------+------+ | event_date | cnt | +------------+------+ | 2025-05-01 | 17 | | 2025-05-02 | 12 | | 2025-05-08 | 30 | +-------...
Count Customers Buying Both 'Kindle' and 'Alexa'
ITEMS +---------+-----------+ | ITEM_ID | ITEM_NAME | +---------+-----------+ | 101 | Kindle | | 202 | Alexa | | 303 | Fire TV | ...
Identify Frequent Actor-Director Collaborations in Film Database
FILMOGRAPHY +-------+---------+------------+ | actor | dir | date | +-------+---------+------------+ | Tom | Nolan | 2020-01-01 | | Tom ...
Analyze Seller Compliance and Customer Purchase Patterns
SELLER_STATUS +-----------+------------+-----------+ | seller_id | date | status | +-----------+------------+-----------+ | 1 |2019-0...
Find Top Three Books by City in Recent Months
BOOK_SALES +------+--------+------------+------------+ | city | asin | sale_date | units_sold | +------+--------+------------+------------+ | NYC ...
Compute First Order Proportions by Day and Category
ORDERS +----------+------------+----------+-------------+ | order_id | date | category | customer_id | +----------+------------+----------+-----...
Identify Unique Unordered City Pairs in Flight Log
FLIGHTS +----------------+---------------+ | departure_city | arrival_city | +----------------+---------------+ | NYC | LAX | | ...