Adobe: Find the top 2 departments by headcount and summarize typical pay in each.
The HR team has shared two exports, one of employees and one of departments, ahead of an upcoming headcount planning review, and wants a quick analysis before sharing the numbers.
adobe_employees.csv - one row per employee:
employee_idfull_namedepartment_idtitle - job titlesalaryhire_dateadobe_departments.csv - one row per department:
department_iddepartment_namelocationYou can solve this in Python, SQL, or a mix of both — StrataScratch notebooks support both languages in the same notebook.
Assume this data comes directly from the HR system and hasn't been cleaned, so review it carefully before relying on the numbers. When something looks off, work out what it is and decide how to handle it; when a definition or a final decision is genuinely ambiguous, choose a reasonable option and explain why. There's often more than one valid way to compute a result, so explain the approach you take and the reasoning behind your choices.
What's assessed: your results, and how clearly you explain what you see in the data and justify the choices you make.
See the full interview round by round, with questions for each stage.