Big Tech · FAANG+
Big Tech Data Analyst Interview Questions
Big Tech, also written FAANG+, means Amazon, Meta, Netflix, Salesforce, Atlassian, Shopify, Google, LinkedIn, Microsoft and Workday. These 50+ data analyst interview questions come from all of them, in SQL, Python and pandas. Start solving and check your level of preparation.
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All the questions
- FactorialPython
Googleeasy - First unique characterPython
Amazoneasy - FizzBuzzPython
Microsofteasy - Hires per yearSQL
LinkedIneasy - Large orders with customer namesSQLAmazoneasy
- Price bandsSQLAmazoneasy
- Products with no brandSQLAmazoneasy
- Remove duplicates, keep the orderPython
Netflixeasy - Revenue by categoryPandasAmazoneasy
- Reverse the wordsPythonLinkedIneasy
- Salary against department totalSQLMicrosofteasy
- Stock statusSQLAmazoneasy
- Watch time by genrePandasNetflixeasy
- Average reactions per post typeSQL
Metamedium - Average sales cycleSQL
Salesforcemedium - Balanced bracketsPythonSalesforcemedium
- Completion rate by content typeSQLNetflixmedium
- Customers without ordersSQLAmazonmedium
- Department headcount and paySQLSalesforcemedium
- Employee senioritySQLGooglemedium
- Employees and their managersSQL
Workdaymedium - First and last position of a userPythonMetamedium
- Flatten a category treePythonAmazonmedium
- Hours between scansSQLAmazonmedium
- Orders from enterprise customersSQLAmazonmedium
- Orders per customer segmentSQLAmazonmedium
- Packages still movingSQLAmazonmedium
- Plan changesSQL
Shopifymedium - Prime vs. standard order valueSQLAmazonmedium
- Priority mix per projectSQL
Atlassianmedium - Reactions by post typePandasMetamedium
- Resolution time by priorityPandasPremiumAtlassianmedium
- Revenue by plan and monthPandasShopifymedium
- Revenue by statePandasAmazonmedium
- Revenue to date per merchantSQLShopifymedium
- Salary rank within departmentSQLNetflixmedium
- Slowest ticket per projectSQLAtlassianmedium
- Sort employee recordsPythonWorkdaymedium
- Stage times per packageSQLAmazonmedium
- Subtasks that outlived the parentSQLPremiumAtlassianmedium
- The busiest customerSQLAmazonmedium
- Top earner per departmentPandasSalesforcemedium
- Win rate by sales repSQLPremiumSalesforcemedium
- Averages that skip NULLsSQLAmazonhard
- Highest paid in each departmentSQLMetahard
- Largest order per customerPandasAmazonhard
- Most-watched title in each countrySQLPremiumNetflixhard
- Paid above the department averageSQLGooglehard
- Posting on consecutive daysSQLPremiumMetahard
- Slowest package per facilitySQLAmazonhard
- Top spending customersSQLAmazonhard
- Unbroken runs of monthsSQLShopifyhard
Questions last reviewed 19 October 2026.