[SQL] Job Ad Metrics with Applicant Filter

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Q: What difficulty level is this coding question?

This is a medium difficulty Data Manipulation (SQL/Python) question, commonly asked during Technical Screen rounds at LinkedIn.

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This question is commonly asked for Data Scientist candidates at LinkedIn during technical interviews.

Question

Job Ad Metrics Analysis Task

Table Structure

Table: job_activity

job_id INT 
candidate_id INT 
activity_type VARCHAR -- can be 'view' or 'apply'

Requirements

Part 1: Basic Metrics

Calculate for each job_id:

Total number of activities

Number of unique candidates who viewed the job

Number of unique candidates who applied to the job

Part 2: Filtered Metrics

Exclude candidates who only applied but never viewed any job

Recalculate the same metrics from Part 1 with this filter applied

Address the edge case: How to handle candidates who apply to multiple jobs but don't view any

PracHub · Accepted Answer

This question evaluates proficiency in SQL data manipulation and deduplication, focusing on aggregations, distinct counts, and conditional filtering of event records (views vs applies).

Quick Overview

[SQL] Job Ad Metrics with Applicant Filter