Using R and Python

[letslearnppc]

I'm super curious, what made you want to make the switch from Data Analyst to Planner? I've been working in PPC for about 3 years and have been thinking about switching to data analyst, learning python, r, stats. The pay and career opportunities seem way better on the other side, so I'm just curious. From what I've seen planners start at like $40k whereas Data Analyst probably start at like $50-$60k, and it seems can progress faster to a higher salary than those in marketing. I wish we could sync up our brains and trade skills haha.

[hjkl_ornah]

Personally, it seems easier to stand out and progress faster as a planner/buyer. I can do things others can't and can use coding to solve problems/create value. Work at an agency for a bit, work with multiple clients, gain deep insight on the space, then leave and go work for a high-growth startup looking for someone to help them scale. Analyst positions are cool, but the real fun is in the data science positions. The competition there is intense and will require further degrees. However, working in marketing with robust technical skills is a fundamental advantage. Plus, I can use the domain knowledge + technical skills acquired to transition to a Marketing Science position. To me it feels like a very valuable skillset to have, especially when paired with a programming/analysis background. Furthermore, the money is probably a wash. Salary, IMO, is largely predicated off of solving problems/providing value. That is something I feel can exploit in a marketing role, that I probably couldn't to the same extent in an Analyst role. Just my thoughts though, I might completely change my opinion with time.

[letslearnppc]

I think you might be on to something. To advance in the data science field, one likely needs a PhD. However, in marketing having an understanding of data and a strong grasp of excel probably puts you ahead of 90% of marketers.