2 min readfrom Data Science

What domains are easier to work in/understand

I currently work in social sciences/nonprofit analytics, and I find this to be one of the hardest areas to work in because the data is based on program(s) specific to the nonprofit and aren't very standard across the industry. So it's almost like learning a new subdomain at every new job. Stakeholders are constantly making up new metrics just because they sound interesting but they don't define them very well, or because they sound good to a funder, the systems being used aren't well-maintained as people keep creating metrics and forgetting about them, etc.

I know this is a common struggle across a lot of domains, but nonprofits are turned up to 100.

It's hard for me, even with my social sciences background, because the program areas are so different and I wasn't trained to be a data engineer/manager, I trained in analytics. So it's hard for me to wear multiple hats on top of learning a new domain from scratch in every new job.

I'm looking to pivot out of nonprofits so if you work in a domain that is relatively stable across companies or is easier to plug into, I'd love to hear about it. My perception is that something like people/talent analytics or accounting is stabler from company to company, but I'm happy to be proven wrong.

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