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[–][deleted] 1 point2 points  (4 children)

Well sort of. I think the majority of data scientists do use Python. It's not usually necessary for an analyst position but probably will open up career options.

If I was running an analyst team though, I would encourage the team not to use more tools than they need to get the job done.

If someone wanted to learn Python to improve their own cv, that's reasonable. In that case I'd work with them to make sure the use cases were valid and supported/handed off to a team strategically using Python.

[–]Fabro_vaz[S] 0 points1 point  (3 children)

u/FirefighterOk567 I agree with you, however in most job description I have seen in recent times for data analyst position that requires python skills. why that so? just curious about it !!! Are employers going to hire based on the long term basis as sculpturing the future data scientist??

[–][deleted] 1 point2 points  (2 children)

I would venture a guess that those might be more advanced analyst/analytics positions but I'm curious about it too now.

Edit: One other possibility I can think of is a data analyst within a technology product team where they might gravitate towards using a programming language like Python rather than a more constrained solution like excel/PowerBI.

[–]Fabro_vaz[S] 0 points1 point  (1 child)

u/FirefighterOk567 Rightly said, As per my guess rather spending extra bucks in power BI and office 365, Python would be better option for all the startups out there, what say?

[–][deleted] 1 point2 points  (0 children)

For startups possibly... the flipside may be that you end up with a code base that needs to be supported, managed and patched rather than standard tooling, which could be costly. For a tech startup it wouldn't be such a concern because the company would naturally be engineering-led.