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

These 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

Could 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.

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.