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Ask HN: What does a career in 'analytics' look like in 2022?
- awb 5y agoCould be anything from creating and interpreting basic Google Analytics reports to advising or implementing A/B tests to tracking largely business KPIs to classifying data for AI/ML pipelines to actually training AI/ML models and data science.
- oicu812 5y agoThese skills: Expert in data visualization using Tableau, PowerBI, Shiny, or other dashboarding tools. Develops advanced analytic tools through the use of traditional regression, artificial intelligence and/or machine learning modeling. Experience with machine learning APIs and computational packages (examples: TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels). Programming skills in Python, R, Spark, SAS
- jstx1 5y agoOther comments have included ML in their descriptions and I don’t agree. Both analytics and ML can fall under data science but there is a clear line between the two.
- mattcristal 5y agowhere do you think the line is? from what I was reading, in some Analytics teams you have people working on ML, others on Data Engineering, other doing business intelligence
- jstx1 5y agoIf you take all of these terms, I think of analytics as a synonym of business intelligence, not as an overarching term that covers ML, DE and BI.