Data science has become an increasing ill-defined term and all kinds of folks call themselves data scientists. Even worse is the category of people who claim fluency and proficiency with data - you have no idea what to make of such claim. This helpful chart goes a long way in clarifying what data skills you should have based on your job function.
I have a good mind to put this to use soon - have the data folks plot their skills graph on this chart so its clear what expectations other may or may not have of them. When interviewing a client team regarding the production and consumption of data it would be useful to see their responses in the context of this chart. The skills they have or lack can drive their perceptions and their view of what needs to change.
The only thing I would add to this is intuition about data. When a customer describes a problem statement how often is your hypothesis about the data (that can explain it or help with root cause analysis) accurate? There is a place for data over intuition but not having common sense about data can be a deal-killer no matter what your role.
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