Business Intelligence Analyst Sr
Posted Sep 3, 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 data foundation you built or rebuilt so that reporting got faster or more reliable.
What they are checking: Whether they have done the unglamorous modeling and cleanup work that makes good reporting possible.
Tell me about a time your analysis showed something a decision maker did not want to hear.
What they are checking: Whether they deliver uncomfortable findings clearly and stand by sound work when there is pressure to soften it.
This team is very collaborative and works on many efforts at once. How do you manage competing requests?
What they are checking: Whether they can set priorities with stakeholders openly instead of quietly letting some requests slip.
Tell me about a dashboard or report you built that actually changed how someone made a decision.
What they are checking: Whether they measure their work by its effect on decisions rather than by the number of reports produced.
What would you do
A leader asks for a forecast of the cost and risk of a new initiative, but there is very little history to base it on. What do you do?
What they are checking: Whether they can build a reasonable forecast from limited data and state its uncertainty plainly.
You own data that other teams rely on. How do you make sure a change you make does not break their reports?
What they are checking: Whether they treat owned data as a shared product with documentation, testing and notice to the people who use it.
About the work
This role supports Agency Administration. What kinds of data would you expect to work with when monitoring the health of an agency program?
What they are checking: Whether they can think about agent recruiting, retention and production data in business terms, not just as tables.
You have to combine data from an internal system and an outside source, and the key fields do not match cleanly. How do you handle it?
What they are checking: Whether they can join messy sources carefully and are honest about what the match rate means for the results.
How would you design a set of metrics to tell leaders whether a new agency program is working?
What they are checking: Whether they can pick measures tied to the program's real goal and avoid vanity numbers that look good but mislead.
Walk me through how you would write a SQL query to find agents whose production dropped more than 20 percent year over year.
What they are checking: Whether they can reason through comparisons over time, edge cases like new agents, and null handling in practice.
How do you decide whether a finding is a real trend or just noise?
What they are checking: Whether they apply basic statistical judgment before telling leaders a pattern is worth acting on.
Practice this interview out loud.
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Practice this out loudThe full job description
As published by COUNTRY Financial.