Sr. Planner, Demand
Posted Sep 29, 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 a time your forecast was badly wrong. What happened and what did you change?
What they are checking: Whether they own misses and learn from them, which is a big part of improving forecast quality over time.
Describe how you've explained a forecast change to a leader who doesn't work in supply chain.
What they are checking: Whether they can tell a clear story about volume changes that business partners trust and act on.
What would you do
Marketing plans a big promotion but gives you very little detail. How do you forecast it?
What they are checking: Whether they can build a promotional forecast from past events and assumptions, and push for the inputs they need.
Sales wants to keep a high forecast to protect service, but Finance worries about excess inventory. How do you handle it?
What they are checking: Whether they can balance service and inventory goals with data rather than just splitting the difference.
About the work
Walk me through how you'd run the monthly consensus forecast meeting. What would you need from Sales, Marketing and Finance beforehand?
What they are checking: Whether they can lead a consensus process driven by real inputs, not a meeting where people argue about one number.
How do you measure forecast accuracy and bias, and what do you do when you see a consistent bias?
What they are checking: Whether they understand MAPE, bias and how persistent over- or under-forecasting hurts inventory and service.
What's your experience with o9 or a similar planning tool, and how have you made the statistical model better?
What they are checking: Whether they can tune and challenge a system forecast, not just accept or override it by hand.
How would you forecast a new product launch that has no sales history?
What they are checking: Whether they use analogs, distribution assumptions and early read data to plan launches responsibly.
Consumption is growing but shipments are flat. What could explain that, and what does it mean for your forecast?
What they are checking: Whether they understand retailer inventory and the gap between consumption and shipments, which the posting names.
How would you decide whether to adjust a forecast at the item level or the distribution center level?
What they are checking: Whether they understand forecasting at the right level of detail so adjustments help rather than create noise.
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As published by Kraft Heinz.