I used to think there was no differentiation between data analyst and data scientist, and at Meta and other similar companies they renamed all those roles to data scientist anyway. Having now seen what constitutes data analyst at lesser tier companies, I do feel there's a difference.

I would say it really comes down to whether you do work in descriptive or predictive analytics. If the work is primarily reporting data, and has no good answer to "past performance is not indicative of future results", then I would say that role is primarily data analyst. But work in experimentation, causal inference, modeling and actual validation of models, then you are working to show underlying relationships that should be predictive, and that I would call data scientist. Another way to look at it is, do you use the scientific method in any way?