Manager, Claims Research & Analysis
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 an automation you identified that reduced manual claims work or cost.
What they are checking: Evidence they find and deliver automation opportunities, which the posting asks for twice.
How do you manage and develop a team of claims business analysts with different skill levels?
What they are checking: People leadership that builds analytical capability across the team.
Tell me about a time a fix you implemented didn't work. What did you do next?
What they are checking: Persistence and honesty in following through until a process gap is actually closed.
What would you do
A claims project needs to reprocess thousands of claims after a configuration fix. How do you plan it?
What they are checking: Project analysis for mass adjustments, including scope, validation and provider impact.
How do you get buy-in from operations leaders who are skeptical of your proposed change?
What they are checking: Ability to mobilize commitment across organizational levels, which the posting names directly.
How do you balance quick fixes for today's problems with longer-term improvements?
What they are checking: Judgment about prioritizing work that keeps claims operations meeting performance measures.
About the work
Walk me through how you'd run a root cause analysis on a spike in claims paid incorrectly.
What they are checking: Structured problem solving that separates configuration, provider data and processing errors.
What claims performance measures do you watch, and what would make you dig in?
What they are checking: Knowledge of metrics like accuracy, timeliness and inventory age that drive claims operations.
How do you write a Process Bulletin so processors follow it correctly the first time?
What they are checking: Clear procedural writing that prevents rework and inconsistent claims handling.
How do you make sure the data your team analyzes is accurate before you act on it?
What they are checking: Data validation habits that keep the team from solving the wrong problem.
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As published by Centene.