Andriy Burkov, ML at Gartner and author of The Hundred-Page Machine Learning Book, shares what a good modern data analyst has to master:

• Data structures (local and distributed)
• Data indexing
• Data privacy and anonymization
• Data lifecycle management
• Data transformation (deduplication, handling outliers, and missing values, dimensionality reduction)
• Data analysis (experiment design, classification, regression, unsupervised methods)
• Machine learning methods (feature engineering, regularization, hyperparameter tuning, ensemble methods, and neural networks)
• Computer and database programming, numerical optimization
• Distributed data processing Real-time and high-frequency data processing