SQL + Data Manipulation (SQL/Python) Interview Questions
Practice the exact questions companies are asking right now.
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Compute article-type diversity per user and histogram
You track article views and article metadata. Tables article_views - user_id INT - article_id INT - view_date DATE articles - article_id INT (PK) - ar...
Write Call Analytics SQL Queries
This question evaluates SQL data manipulation and analytical competencies, including aggregation, joins between user and event tables, time-window fil...
Write SQL for Pixel Signal Metrics
You are working on Meta Ads Pixel analytics. Assume all timestamps are stored in UTC, and analyze the last 30 complete calendar days. Tables 1. advert...
Convert Dictionary to DataFrame
Using Python and pandas, convert the following dictionary into a DataFrame. Each top-level key is a target column name, and each value is a list of [r...
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 |...
Compute ads revenue by geography in SQL
You have ad delivery logs for a shop-ads system. Tables ad_impressions - impression_id STRING (PK) - ts TIMESTAMP (UTC) - user_id STRING - shop_id STR...
Write SQL for call analytics
You are given two tables. Table: calls - call_id BIGINT - sender_id BIGINT - receiver_id BIGINT - call_ts TIMESTAMP — stored in UTC - pickup CHAR(1) —...
Explain pandas and SQL basics
You are interviewing for a Data Engineer co-op/intern role. Answer the following short technical questions. Python / pandas: 1. What is the difference...
Calculate Ultimate Loss by Policy Term
You work with insurance policy-term loss data. For a given policy term, its ultimate loss is defined as the sum of losses from the current term and al...
Write SQL for CTR and revenue
Write SQL for the following two tasks. Problem 1: CTR during peak vs. non-peak hours You are given three tables: - ads(ad_id BIGINT, advertiser_id BIG...
Compute reply-based user metrics in 7 days
You are analyzing discussions on a social platform. Tables all_post - post_id (BIGINT, PK) - post_author_id (BIGINT, FK → user.user_id) - post_creatio...
Find top-5 most similar rows across datasets
You can solve this in SQL or Python. You are given two datasets with the same feature columns: Tables target_rows (rows you want to match) - target_id...
Compute percent of active users with 50+ calls
Problem You work on a Messenger-like app. You want to measure how many active users in Great Britain (GB) today have been heavy callers recently. Tabl...
Compute active ad revenue by creation source
You work on an ads platform and need to report active ad revenue broken down by the ad’s creation source. Tables ads - ad_id BIGINT PK - advertiser_id...
Write SQL for top categories and highly active users
You are given three tables: 1) impression Event-level table of user impressions. - impression_id BIGINT (PK) - user_id BIGINT (FK → user.user_id) - pi...
Count weekly customers with ≥$1000 YTD spend
Question You are given a transaction-level table and must compute a weekly time series of how many customers have reached a year-to-date spending thre...
Write monthly customer and sales SQL queries
You are analyzing a food-delivery marketplace. Tables Assume the following schema (you may add minor helper CTEs as needed): orders - order_id (BIGINT...
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 DAU and rolling MAU with zero days
You have two tables in PostgreSQL: Tables users - user_id (STRING / INT, PK) - signup_date (DATE) logins - user_id (STRING / INT, FK → users.user_id) ...
Compute monthly signups, conversion, and YoY growth
You work at a subscription company and are given a user-level table. Table company_users - id (INT, PK) — user/customer id - signup_date (DATE) — date...