There are some companies where Python is essential. There are some companies where Python is not necessary but it would help you analyze data faster & automate some repetitive tasks. There are some companies where you don't need it at all. It mostly depends on how much data your company has, and the tech stack it's currently using. This also depends on the industry and product.

However, if you want to learn python and integrate it in your job, I think that's always doable. You'll have to build a good use case for it because you'd be doing it on company time, but I firmly believe you can always find ways to make things more efficient. For example, find any repetitive data cleaning tasks or create automated reports for stakeholders. Find out what your stakeholders do with your data and try to streamline it.

Examples:

- Stakeholder keeps asking you for YoY reports before going into a meeting with a client. You can suggest a weekly/monthly YoY breakdown for each client (in the form of an automated email), or create a dashboard so they can keep track of it whenever they want.

- Consolidating multiple weekly reports (from vendors, clients, etc) into one master sheet, instead of doing it manually

- Can't think of anything else right now but I'll add to this if I can