Cardlytics Interview Questions
Published March 27, 2026
Estimated reading time: 5 minutes
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Data Structures & Algorithms
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SQL
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Machine Learning
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Product Sense & Metrics
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Probability
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Cardlytics Interview Questions
Practice for the Cardlytics interview with these recently asked interview questions.
| Question | Topic | Difficulty | ||||||||||||||||||||||
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SQL | Easy | |||||||||||||||||||||||
We’re given two tables, a Write a query that returns all neighborhoods that have 0 users. Example: Input:
Output:
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SQL | Easy | |||||||||||||||||||||||
SQL | Medium | |||||||||||||||||||||||
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SQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard | |
Machine Learning | Medium | |
Python | Easy | |
Deep Learning | Hard | |
SQL | Medium | |
Statistics | Easy | |
Machine Learning | Hard |
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Cardlytics Salaries by Position
Most data science positions fall under different position titles depending on the actual role.
From the graph we can see that on average the Software Engineer role pays the most with a $135,415 base salary while the Data Analyst role on average pays the least with a $57,633 base salary.
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