What do data analysts mainly do?

Specializing in the collection, collation and analysis of industry data, and conducting industry research, evaluation and prediction according to the data.

Internet itself has the characteristics of digitalization and interactivity, which brings a revolutionary breakthrough to data collection, collation and research. In the past, data analysts in the "atomic world" spent a lot of money (funds, resources and time) to obtain data supporting research and analysis, and the richness, comprehensiveness, continuity and timeliness of data were much worse than those in the Internet era.

Compared with traditional data analysts, data analysts in the Internet era are facing not data shortage, but data surplus. Therefore, data analysts in the Internet era must learn to use technical means to process data efficiently. More importantly, data analysts in the Internet era should constantly innovate and break through the methodology of data research.

As far as the industry is concerned, the value of data analysts is similar. As far as the press and publication industry is concerned, it is the key to the success of the media whether the media operators can accurately, detailedly and timely understand the audience and the changing trend.

Extended data

The definition of the profession of data scientist is a bit broad. Also known as data scientists, the work done by different companies in different industries may vary greatly.

Some are partial to machine learning and modeling, and some are partial to data analysis. Some people are called data scientists. They do many things similar to software engineers (SWE). Some products are short, flat and fast. Some long-term studies look at the effect for a year or two or even longer.

The ultimate goal of data analysis is the ability to guide product improvement through data analysis. In the final analysis, any skill needs to serve this purpose.

Baidu Encyclopedia-Data Analyst