Master Data Management Analyst
Posted Oct 5, 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 a data quality problem nobody else noticed.
What they are checking: Attention to detail and initiative in protecting data integrity.
Tell me about a process you improved to make data work faster or cleaner.
What they are checking: Continuous improvement in data processes, which the posting stresses.
What would you do
Production says a routing is wrong and it is causing bad costs. How do you handle it?
What they are checking: Fixing data quickly while tracing the root cause so the same error does not return.
Several teams send you item requests at once and all say theirs is urgent. How do you prioritize while meeting service levels?
What they are checking: Managing a request queue against service-level targets without favoring the loudest requester.
How would you explain to an engineer why a required field must be filled even though they think it is not needed?
What they are checking: Enforcing standards while explaining the business reason, so people follow rules willingly.
About the work
Walk me through the steps to create a new manufactured item, including its BOM and routing.
What they are checking: End-to-end understanding of item setup and how errors flow into planning and production.
What are EFFs and DFFs in Oracle, and when would you use one over the other?
What they are checking: Hands-on Oracle item configuration knowledge that the posting names directly.
How would you set up data governance rules so item records stay complete and accurate?
What they are checking: Designing standards and checks that prevent bad data instead of cleaning it up later.
How do you handle an item discontinuation when the part is still used in other BOMs?
What they are checking: Understanding where-used impacts so discontinuing an item does not break production.
How do you use tools like Excel or SQL to check data quality across thousands of items?
What they are checking: Practical skill at auditing large data sets rather than checking records one by one.
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Practice this out loudThe full job description
As published by Panduit.