Manager, Business Analytics
Posted Aug 28, 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
This role is a hands-on analyst who also manages a team of data analysts. How do you split your own time between doing and managing?
What they are checking: Whether they are honest about balancing hands-on analysis with managing people, since player-coaches often neglect one side without noticing.
You'd select, hire and develop data analysts. What do you look for in an analyst?
What they are checking: Whether they have a clear hiring standard, such as curiosity, rigor and communication, since the team's quality starts with who they hire.
How do you review an analyst's work so they get better rather than just corrected?
What they are checking: Whether they review work in a way that builds analysts' judgment, rather than fixing outputs themselves and creating dependence.
What would you do
You'd collaborate cross-functionally to drive data-driven outcomes. How do you turn a vague business question into an analysis?
What they are checking: Whether they can turn a vague question into a clear problem and approach, since poorly framed analysis wastes time and misleads.
A stakeholder wants the analysis to say something the data do not support. How do you handle it?
What they are checking: Whether they will hold to what the data supports under pressure, because analytics loses all value once results bend to expectations.
How do you decide which analysis requests your team takes and which they decline?
What they are checking: Whether they triage requests by value and capacity and can decline gracefully, so a small team does high-impact work instead of everything.
This is based at North Chicago managing a data analytics team. What would you want to know about the data and the stakeholders before you took it?
What they are checking: Whether they ask about data quality, tools and stakeholder expectations before accepting, showing they understand what will shape their success.
About the work
You'd lead projects centered on complex data models using predictive analytics. Walk me through a model you built and what it was used for.
What they are checking: Whether they have built a predictive model that was actually used, and can explain the method, limits and business result.
You'd design and build dashboards to validate data and support investigations. What makes a dashboard produce a decision rather than a look?
What they are checking: Whether they design dashboards around specific decisions and actions, rather than packing in charts that people look at once and ignore.
How do you validate data you did not collect and do not control?
What they are checking: Whether they check unfamiliar data for completeness, consistency and meaning before trusting it, since bad inputs produce confident wrong answers.
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Practice this out loudThe full job description
As published by AbbVie.