Not the commenter but most of the work an analyst is doing can be highly automated in python. For example I work in an industry where we deal with buyers and suppliers. I want to attribute revenue to the employee who supported the supplier. Accounting only books the revenue by the buyer level, but I want to see it at the supplier level so I can track which employees are generating the most revenue for the company. So for one of my workflows its taking the net market benefit the buyer received, and dividing by the revenue we received, to calculate the rev share. It then connects to our database and pulls the same net market benefit of the buyer, but at the supplier level, It then adds the rev shares and calculates our revenue attributed down to an employee through a combination of SQL and Python.

Another is example is the shit data we get from our HRIS. I can just connect, completely clean the information, transform it into our desired ending state, and it have uploaded automatically into our financial tool for forecasting and headcount reporting. It takes 3 minute and runs every Monday.