PayPal
Foundations Track · Easy · 15 min
9. Filter PayPal Customer Records Based on Email Domain
As a PayPal data analyst, you are tasked with identifying user profiles that were created with corporate email addresses, specifically those that end with '@...
Company labels are directional practice context, not official interview guidance.
Objective
Practice filtering through a PayPal-tagged business scenario.
Approach
Use this track to lock in clean query structure, basic filtering logic, and confidence with grouped output.
Company context
Company labels are directional practice context, not official interview guidance.
As a PayPal data analyst, you are tasked with identifying user profiles that were created with corporate email addresses, specifically those that end with '@paypal.com'. **customer** Example Input: customer_id first_name last_name email create_date -------------------------------------------------------- 1 John Doe johndoe@gmail.com 2022-01-01 2 Jane Smith janesmith@paypal.com 2022-02-01 3 Max Lee maxlee@yahoo.com 2022-02-01 4 Abby Chen abbychen@paypal.com 2022-03-01 **Example Output:** customer_id first_name last_name email create_date -------------------------------------------------------- 2 Jane Smith janesmith@paypal.com 2022-02-01 4 Abby Chen abbychen@paypal.com 2022-03-01 **Answer:** SELECT * FROM customer WHERE email LIKE '%@paypal.com'; ---
customer
SQL workspace
Run queries against the protected question data, then submit once the result shape looks right.
Sign in to run SQL
Create a free account or sign in before running queries against protected question data.