Data Analyst II Python, R
Posted Oct 5, 2026 · We last checked this listing on Oct 5, 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 spotted a data trend before anyone asked you to look.
What they are checking: Proactive monitoring, which the posting asks for, rather than only answering requests.
How do you handle several projects with competing deadlines, and when do you tell your manager something is at risk?
What they are checking: Organization and early communication about risks, which the posting specifically mentions.
What would you do
Two reports that should match show different member counts. How do you reconcile them?
What they are checking: Methodical data reconciliation, checking definitions, filters and timing before assuming one is wrong.
How do you explain a model's results to senior managers who don't know statistics?
What they are checking: Ability to communicate findings clearly and honestly, including uncertainty, to decision makers.
A business partner asks for a report but can't clearly say what they need. How do you gather the requirements?
What they are checking: Skill at asking questions that uncover the real business question behind a vague request.
How would you help train a newer analyst who keeps making the same mistakes in their queries?
What they are checking: Patience and teaching ability, since the role assists with training junior analysts.
About the work
Walk me through a predictive model you built in Python or R. How did you know it was any good?
What they are checking: Real modeling experience, including validation, rather than just running a package on clean data.
How would you measure whether a health management program, like a diabetes outreach program, actually improved outcomes?
What they are checking: Understanding of comparison groups and selection bias when measuring program outcomes.
Write out loud a SQL query that finds members with an ER visit who had no primary care visit in the prior year. How would you approach it?
What they are checking: Practical SQL skill with joins and date logic on claims-style data.
What do you know about HEDIS reporting, and why does data accuracy matter so much for it?
What they are checking: Awareness that HEDIS and CMS reporting affect quality ratings and payments, so errors are costly.
How do you clean messy health care data, like duplicate members or missing diagnosis codes?
What they are checking: Hands-on data cleansing experience, which takes most of the time in real analytics work.
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Practice this out loudThe full job description
As published by Centene.