Senior Merchandising - Technical Analyst (965)

Tell me about a dashboard or tool you built that changed how people made decisions. How did you know it worked?

What they are checking: Whether their analysis led to real decisions in the business, not just reports that sat unopened.

Tell me about a time your numbers were questioned. How did you respond?

What they are checking: Whether they can defend their work with evidence and also admit and fix an error when they find one.

What is something you automated that used to be manual, and how much time did it save?

What they are checking: Whether they look for ways to scale their own work, which matters when supporting a company this size.

A field sales leader says they need better pricing information. How do you turn that into something you can actually build?

What they are checking: Whether they can pull a vague ask apart into specific questions, data and a usable output.

Your analysis shows a pricing practice a regional team loves is hurting margin. How do you bring that to them?

What they are checking: Whether they can share an unwelcome finding with field leaders in a way that leads to change instead of defensiveness.

How would you help field teams adopt a new pricing tool when they are used to pricing by feel?

What they are checking: Whether they think about adoption and trust, not just about building a technically correct tool.

Two stakeholders ask for conflicting reports with the same deadline. How do you handle it?

What they are checking: Whether they escalate priority conflicts to their manager with a clear tradeoff rather than quietly picking one.

How would you identify which products or customers are underpriced across hundreds of branches?

What they are checking: Whether they can design a sound comparison, like peer groups or price waterfalls, rather than ranking by raw margin.

What is your approach to writing SQL against large transactional sales data so the results are trustworthy?

What they are checking: Whether they guard against joins that double count, missing returns and other quiet errors in sales data.

How would you measure whether a price increase actually helped profitability or just cost volume?

What they are checking: Whether they understand price and volume tradeoffs and can separate the effect of the change from other factors.

Which tools have you used to build dashboards, and how do you decide what goes on the first screen?

What they are checking: Whether they design for the user's main decision rather than cramming every available metric onto the page.