Quick Overview

This question evaluates a data scientist's competency in SQL-based sequence detection, temporal filtering, and aggregation to identify repeated navigation patterns within user-day sessions.

Identify Users with Specific Page Navigation Patterns

Company: PayPal

Role: Data Scientist

Category: Data Manipulation (SQL/Python)

Difficulty: medium

Interview Round: Onsite

page_visits +------------+---------+---------+---------------------+ | visit_date | user_id | page_id | ts | +------------+---------+---------+---------------------+ | 2023-10-01 | 101 | A | 2023-10-01 08:00:05 | | 2023-10-01 | 101 | B | 2023-10-01 08:05:05 | | 2023-10-01 | 101 | D | 2023-10-01 08:15:05 | | 2023-10-01 | 102 | A | 2023-10-01 09:00:00 | | 2023-10-01 | 102 | C | 2023-10-01 09:10:00 | +------------+---------+---------+---------------------+ ##### Scenario Web-analytics team wants to understand specific navigation behavior on the site. ##### Question Write SQL that returns user_id(s) who, within the same calendar day, visited page 'A' and later page 'B' at least once, never visited page 'C' that day, and completed the A→B sequence more than once. ##### Hints Use window functions (lead/lag or ROW_NUMBER) partitioned by user_id and visit_date, then aggregate.

Quick Answer: This question evaluates a data scientist's competency in SQL-based sequence detection, temporal filtering, and aggregation to identify repeated navigation patterns within user-day sessions.

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