People who poke around in Tableau might not get a lot of respect in the hierarchy of DataFolk, but descriptive statistics and thoughtfully chosen visualizations can be immensely useful. Exploratory data analysis sometimes reveals patterns that are so obvious that to apply statistical inference is just vanity.
If understanding the data generating processes is the goal, I'd rather see some useful plots than wade through a technical description of some model whose assumptions were flagrantly violated.
Where do business analysts fit into this dichotomy? Their whole job is to poke around in Tableau in order to surface high-ROI strategies for the business to pursue. (Where, in choosing which proposals to surface to management, they're effectively making 90% of the strategic decisions.)
Or how about corporate buyers in trading and retail companies?
Or quantitative investment managers?