I’ve noticed a lot of people view data analyst roles as a pure “thinking” job, but a big part of it is actually trust-building. Cleaning data, validating numbers, reconciling sources, answering “why doesn’t this match?” over and over. The insight work only matters if people believe the data.

For other analysts: does most of your time go to analysis, or earning confidence in the numbers first?

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Don’t forget the part where you have to clearly explain the data to people who don’t understand it

I’m seeing AI can do this now are long as you can prompt it correctly or re prompt it.

I agree completely. I spend more time reconciling and explaining than analysing. Trust is the real output. Without it, insights do not land, no matter how good the model looks.

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