How much does Econometrics come into practice in Data Science

Hi everyone,

I'm currently doing my undergrad dissertation, which requires a lot of data analysis, but from an econometric perspective - regressions, significance testing, unit root testing, serial correlation testing, heteroskedasticity, looking at the distribution of the residuals e.t.c.

I was just wondering how much that comes into play when working in a career in data? Is it more common among 'data analyst' positions rather than in 'data scientist' or 'data engineering'?

Thanks XD

data data science datascience econometrics science