When a report breaks or a dataset looks wrong, you're who gets called, troubleshooting data systems, fixing problems, and supporting the people who depend on the numbers. The help desk for everything data.
The day runs on tickets and troubleshooting: investigating data issues, fixing broken reports or feeds, answering user questions, and documenting fixes. You sit between data systems and the people who use them, often the one who finds why a number looks wrong. Much of the craft is diagnosis and clear communication, translating a vague complaint into the real problem.
What surprises people is the breadth and the constant interruption: you handle varied problems and switch context often, under time pressure. Tools and systems keep evolving, and the role's scope varies widely. It spans support, light analysis, and data administration, each blending differently depending on where you land.
It fits someone patient, analytical, and good with both data and people. If you want deep focus or to build rather than support, the interruptions can grind. But if you like solving concrete data problems and helping people, and the satisfaction of getting someone's broken report working again, the work tends to reward it, and can open toward analytics or engineering.
Where this role sits in the broader career landscape — and where it can take you.
Roles like this one sit within a broader occupational category. The numbers below reflect that full landscape — helpful for context, but your specific experience will depend on level, specialty, and where you work.
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