1. Data analysts in the Internet age 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.
2. 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.
3. For news publishing and other content industries, it is more critical that data analysts can play the role of content consumer data analysis, which is the key function to support news publishing institutions to improve customer service.
Skills requirements of data analysts:
1. Understand the business: the premise of data analysis is to understand the business, that is, to be familiar with the industry knowledge, the company's business and processes, and it is best to have your own unique opinions. If it is divorced from the industry cognition and the company's business background, the analysis result will only be an off-line kite with little use value.
2. Understand management: on the one hand, it is the requirement of building a data analysis framework. For example, to determine the analytical thinking, we need to use theoretical knowledge such as marketing and management to guide. If you are not familiar with management theory, it is difficult to build a data analysis framework, and subsequent data analysis is also difficult. On the other hand, the function is to put forward guiding analysis suggestions for the conclusion of data analysis.
3. Understand analysis: It refers to mastering the basic principles of data analysis and some effective data analysis methods, and being able to flexibly apply them to practical work, so as to effectively analyze data.
4. Understanding tools: refers to mastering common tools related to data analysis. Data analysis method is a theory, and data analysis tool is a tool to realize the theory of data analysis method. Faced with more and more huge data, we can't rely on calculators for analysis, but must rely on powerful data analysis tools to help us complete data analysis.
5. Understanding design: Understanding design refers to using charts to effectively express the analysis views of data analysts, so that the analysis results are clear at a glance. The design of charts is a big problem, such as the choice of graphics, layout design, color matching and so on. These all need to master certain design principles.
Reference to the above content: Baidu Encyclopedia-Data Analyst