Doordash Data Scientist Data Manipulation (SQL/Python) Interview Questions
Practice the exact questions companies are asking right now.
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Write SQL for percent and window changes
Use PostgreSQL. Assume today = 2025-09-01. You must use CTEs and multiple window functions. Schema and tiny samples are below. Schema: - exposures(uni...
Write SQL for monthly spend and ratios
Assume you are working with a food delivery dataset. Tables (schemas) users - user_id INT PRIMARY KEY - annual_income_usd INT - signup_ts TIMESTAMP re...
Write SQL for late-delivery metrics by window
You are given two tables. Assume PostgreSQL. Define delivery duration as delivered_at − pickup_time (exclude rows with null pickup_time or delivered_a...
Write SQL for cuisine median delivery times
Use SQL to answer the following. Assume ANSI SQL with window functions and percentile functions available. Treat “today” as 2025-09-01 (inclusive). Co...
Refactor SQL into an aggregated report
You are given the following Postgres schema and small sample data for a food-delivery platform. Schema: - orders(order_id INT PRIMARY KEY, city TEXT, ...
Write complex SQL on DoorDash data
You are given the following BigQuery-style schema and tiny samples (assume timestamps are UTC; assume promotions.discount_amount is the applied discou...
Find orders from bottom-quartile revenue restaurants
SQL Question You want to identify orders coming from restaurants whose total revenue is in the bottom 25th percentile. Assume the following tables: re...
Analyze Restaurant Customer Metrics
You are given two tables for a food delivery platform. orders( - order_id BIGINT - customer_id BIGINT - restaurant_id BIGINT - order_ts TIMESTAMP - or...
Compute rolling cold-delivery rates with windows
Assume a food-delivery platform with the following schema. Use PostgreSQL. A delivery is considered "cold" if food_temp_c < 40 at dropoff OR there is ...
Model schema and query new-market readiness
Assume today is 2025-09-01. You are given (or can propose) a minimal schema to assess new-market readiness and early performance. Use the schema below...
Write SQL for cold-complaint diagnostics with LAG/QUALIFY
Using BigQuery/Snowflake-style SQL (CTEs required; use LAG and QUALIFY), answer the tasks below. Assume 'today' is 2025-09-01. Schema and small sample...
Write SQL to backtest refund policy
Using the schema and samples below, write a single SQL query (CTEs allowed) that does all of the following for the last 30 days relative to today = 20...
Solve multi-part SQL with sliding windows
Assume 'today' is 2025-09-01. You are given the following tables. users(user_id INT PRIMARY KEY, signup_date DATE) orders(order_id INT PRIMARY KEY, us...
Calculate Late Delivery Percentage and Top Customers
Orders +-----------+-------------+------------------------+------------------------+ | order_id | customer_id | expected_delivery_date | actual_deliv...
Analyze Order Spending Patterns Across Cities Using SQL
Orders order_id | user_id | order_date | city | order_value 1 | 101 | 2023-01-03 | LA | 23.50 2 | 102 | 2023-01-04 | NY | 45.00 3 | 101 | 2023-01-10 |...
Analyze User and Merchant Behavior with Order Data
orders +----------+---------+-------------+------------+-------------+ | order_id | user_id | merchant_id | order_date | order_value | +----------+---...
Derive Insights from DoorDash Order Database
Orders user_id | order_id | merchant_id | order_value | order_date 1 | 1001 | 501 | 45.00 | 2023-07-01 2 | 1002 | 50...
Analyze Monthly Customer and Restaurant Spend Data
orders +-----------+-------------+---------------+------------+--------+ | order_id | customer_id | restaurant_id | order_date | amount | +----------...
Analyze Driver Requests for Food Delivery Orders
ORDER_TABLE order_id | restaurant_id | created_at | total_value 1 | 101 | 2024-06-01 12:01 | 45.50 2 | 102 ...
Analyze Customer Purchase Patterns Using SQL Query
orders +----------+-------------+-------------+------------+------+ | order_id | customer_id | order_value | order_date | city | +----------+---------...