FAANG · MAANG
FAANG Data Analyst Interview Questions
FAANG, also written MAANG, means Amazon, Meta, Netflix and Google. These 30+ data analyst interview questions come from all of them, in SQL, pandas and Python. Start solving and check your level of preparation.
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All the questions
- FactorialPython
Googleeasy - First unique characterPython
Amazoneasy - Large orders with customer namesSQL
Amazoneasy - Price bandsSQL
Amazoneasy - Products with no brandSQL
Amazoneasy - Remove duplicates, keep the orderPython
Netflixeasy - Revenue by categoryPandas
Amazoneasy - Stock statusSQL
Amazoneasy - Watch time by genrePandas
Netflixeasy - Average reactions per post typeSQL
Metamedium - Completion rate by content typeSQL
Netflixmedium - Customers without ordersSQL
Amazonmedium - Employee senioritySQL
Googlemedium - First and last position of a userPython
Metamedium - Flatten a category treePython
Amazonmedium - Hours between scansSQL
Amazonmedium - Orders from enterprise customersSQL
Amazonmedium - Orders per customer segmentSQL
Amazonmedium - Packages still movingSQL
Amazonmedium - Prime vs. standard order valueSQL
Amazonmedium - Reactions by post typePandas
Metamedium - Revenue by statePandas
Amazonmedium - Salary rank within departmentSQL
Netflixmedium - Stage times per packageSQL
Amazonmedium - The busiest customerSQL
Amazonmedium - Averages that skip NULLsSQL
Amazonhard - Highest paid in each departmentSQL
Metahard - Largest order per customerPandas
Amazonhard - Most-watched title in each countrySQLPremium
Netflixhard - Paid above the department averageSQL
Googlehard - Posting on consecutive daysSQLPremium
Metahard - Slowest package per facilitySQL
Amazonhard - Top spending customersSQL
Amazonhard
Questions last reviewed 19 October 2026.