Data Science is the buzzword for the current and perhaps the next few generations. If you want to read about Data science, this blog will certainly help you. While everyone is going gaga about data science and how to become a data scientist, it is important you know the difference between being a data scientist and a data analyst.
Who is a Data Analyst?
Nowadays, companies receive a tremendous amount of information every day that can be used to optimize their strategies. To get insights from the massive data collected, they need a highly qualified professional: the Data Analyst.
The task of a Data Analyst is to process the varied data concerning the customers, the products or the performances of the company, in order to release indicators useful for the decision-makers. Thus, the information provided by the data analyst enables companies to define the products to be offered to customers according to their needs, the marketing strategy to adopt, or the improvements to be made to the production process.