Product Analyst
Posted Aug 11, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about an analysis you did that changed a decision someone was about to make.
What they are checking: Whether their analysis actually drives action, which is the point of supporting a category manager.
The posting mentions applying AI and technology. How have you used AI or automation to speed up data analysis?
What they are checking: Whether they have real hands-on experience making analysis faster and better with tools, not just interest.
Describe a time you challenged an assumption that everyone on your team took for granted.
What they are checking: Whether they think critically and are willing to question things, while doing it respectfully.
Tell me about a time your data was messy or incomplete. How did you still deliver something useful?
What they are checking: Whether they can work through imperfect data honestly and say what the limits of their answer are.
What would you do
Your Category Manager wants a competitive analysis by Friday, but the sales team needs a pricing report the same day. What do you do?
What they are checking: Whether they handle competing requests by clarifying priority and communicating early, instead of quietly missing one.
How do you present findings to a sales team that cares more about the story than the spreadsheet?
What they are checking: Whether they can turn data into a clear recommendation people outside analytics will act on.
About the work
Walk me through how you'd assess whether a product category is performing well or just riding overall growth.
What they are checking: Whether they can separate real category performance from market noise using the right comparisons.
How would you approach a pricing recommendation for a product where a competitor just dropped their price?
What they are checking: Whether they think about margin, volume, customer value, and competitive response together instead of just matching price.
How would you decide whether to cut a slow-selling item from the assortment?
What they are checking: Whether they consider factors beyond sales, like customer needs, bundles, and supplier relationships, before cutting.
How would you gather customer insights on what senior living operators want from a product category?
What they are checking: Whether they know multiple sources of insight, like sales feedback and order data, and can combine them.
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Practice this out loudThe full job description
As published by Direct Supply.