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Amazon

Amazon Data Science Interview Questions

Amazon is one of the FAANG companies, and its data science interviews lean on ranking, conditional logic and joins. These questions cover the same ground, in SQL, pandas and Python.

Start solving and check your level of preparation.

The questions

QuestionTopicDifficulty
  • First unique characterPythonStringseasy
  • Large orders with customer namesSQLJoinseasy
  • Price bandsSQLConditional logiceasy
  • Products with no brandSQLNULL handlingeasy
  • Revenue by categoryPandasAggregationseasy
  • Stock statusSQLConditional logiceasy
  • Flatten a category treePythonListsmedium
  • Hours between scansSQLWindow functionsmedium
  • Packages still movingSQLRankingmedium
  • Revenue by statePandasJoinsmedium
  • Stage times per packageSQLReshapingmedium
  • The busiest customerSQLSubqueriesmedium
  • Averages that skip NULLsSQLNULL handlinghard
  • Largest order per customerPandasRankinghard
  • Slowest package per facilitySQLRankinghard

Questions last reviewed 19 October 2026.

Topics they cover

  • Ranking3
  • Conditional logic2
  • Joins2
  • NULL handling2
  • Aggregations1
  • Lists1
  • Reshaping1
  • Strings1
  • Subqueries1
  • Window functions1

Other roles at Amazon

  • Amazon Data Analyst
  • Amazon Data Engineering

Amazon sits in

  • FAANG Data Science
  • Big Tech Data Science
  • Retail and e-commerce Data Science

Data Science questions at other companies

  • Best Buy9
  • Target9
  • Walmart8
  • Netflix7
  • Stripe7
  • Uber7
  • Airbnb5
  • DoorDash5
  • Meta5
  • Robinhood5
  • Swiggy5
  • Zerodha5

All data science questions

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