Apple data interview guide
Device, App Store and services analytics with a strong focus on data quality.
typical interview loop
- 1.Recruiter screen
- 2.Technical screen: SQL plus a Python data-manipulation exercise
- 3.Onsite: data modeling / pipeline design, coding, behavioral
- › Handle NULLs and duplicates explicitly.
- › Be ready to explain assumptions about messy source data.
most-tested topics
JOIN
3
groupby
3
GROUP BY
3
dates
3
Window functions
2
filtering
1
Based on 18 reconstructed Apple-style questions.
practice path
0 free · 18 Pro- 1Active subscription value by plansqlMedium
- 2Apps that never soldsqlMedium
- 3Average session length per appsqlMedium
- 4Crash rate per apppandasMedium
- 5Daily engagement pivotpandasHard
- 6Device activations by countrysqlEasy
- 7Longest daily usage streakpythonHard
- 8Minutes per apppandasEasy
- 9Month-over-month revenue changesqlHard
- 10Monthly App Store revenuesqlMedium
- 11Refund window checkerpythonMedium
- 12Revenue by app categorysqlEasy
- 13Running revenue by monthsqlHard
- 14Short-lived subscriptionssqlHard
- 15Spend per user with device modelsqlMedium
- 16Subscription renewal schedulepythonMedium
- 17Top spender per countrypandasMedium
- 18Validate device serialspythonEasy
Unlock all 18 Apple questions with Pro.
upgrade