Ask HN: What does a career in 'analytics' look like in 2022?

These skills:<p>Expert in data visualization using Tableau, PowerBI, Shiny, or other dashboarding tools.<p>Develops advanced analytic tools through the use of traditional regression, artificial intelligence and&#x2F;or machine learning modeling.<p>Experience with machine learning APIs and computational packages (examples: TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).<p>Programming skills in Python, R, Spark, SAS

Could be anything from creating and interpreting basic Google Analytics reports to advising or implementing A&#x2F;B tests to tracking largely business KPIs to classifying data for AI&#x2F;ML pipelines to actually training AI&#x2F;ML models and data science.

Other 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.