Solution Analyst - Business Intelligence
Posted Oct 2, 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 you found the root cause of a data discrepancy between two systems.
What they are checking: Whether they trace bad numbers back to the source instead of patching the report and moving on.
Tell me about a project that made data easier for people to access. How did you know it worked?
What they are checking: Whether they measure success by whether people actually used the data to make better decisions.
What would you do
Two departments report different numbers for the same metric. How do you sort it out?
What they are checking: Whether they can get groups to agree on one definition, which matters more than any technical fix.
A stakeholder asks for a new report. What questions do you ask before building anything?
What they are checking: Whether they learn the decision behind the request so they build something useful, not just what was described.
How do you build trust in data among business users who have been burned by bad reports before?
What they are checking: Whether they understand that accuracy and consistency come first, because one wrong number can kill adoption.
About the work
How would you design a data model for sales and order data that business users across Uline could query easily?
What they are checking: Whether they understand dimensional modeling, like facts and dimensions, and design for the people using it.
When would you use a star schema versus a more normalized design in a data warehouse?
What they are checking: Whether they know the tradeoffs between query speed, simplicity and storage when designing warehouse solutions.
Write a SQL query to find orders that appear in the order system but are missing from the warehouse table.
What they are checking: Whether they can use joins and null checks to find gaps between systems, a daily task in this role.
How do you document data processes and models so someone else can maintain them later?
What they are checking: Whether their documentation is clear enough that the team is not dependent on one person's memory.
What BI tools have you worked with, and how do you decide what belongs in the warehouse versus in the report?
What they are checking: Whether they put logic in the right layer so calculations stay consistent across many reports.
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Practice this out loudThe full job description
As published by Uline.