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Key skills: Proficiency in analytics tools like Spark and SQL, knowledge of statistical and machine learning methods, and experience with data visualization tools such as Tableau or PowerBI. Data analytics: Identifying trends and patterns to improve business performance.
Note from the author: Although object-centric process mining was introduced by Wil M.P. van der Aalst 2019 and as a product feature term by Celonis in 2022 and is used extensively in marketing, this concept is far from new in its implementation. Nevertheless, process mining can be considered a sub-discipline of business intelligence.
While a data analyst isn’t expected to know more nuanced skills like deep learning or NLP, a data analyst should know basic data science, machine learning algorithms, automation, and datamining as additional techniques to help further analytics. As you see, there are a number of reporting platforms as expected.
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