Data analyst salary is not generally much higher than the same level of the position, most of them are in two to three percent. At the same time, data analysts are highly valued by companies. In many first-tier and second-tier cities, the annual salary of data analysts is very high, so those who want to enter the data analytics industry do not have to worry about the salary of data analytics.

And now the development of science and technology is getting faster and faster, making the development of data analysis in more directions, data analysis talents will be more scarce. Especially in the rapid development of China, will vigorously develop the data analysis industry. It can be seen that the prospect of data analysts is excellent. At the same time, the status of data analysts is not low, no matter in which industry is so, and data analysts is a general occupation, it is easy to adapt to the data analysis positions in various industries.

The process of working as a data analyst is simply divided into two parts, the first part is acquiring data and the second part is processing the data.

Acquiring relevant data is a prerequisite for data analysis. Each enterprise, has its own set of storage mechanisms. Therefore, basic SQL language is a must. With a basic SQL foundation, and then learn the syntax of the details of it, you can basically get to a lot of data. When each demand is clear, are based on the need to get the relevant data, do the basic data.

Want to change careers, you can first assess their own foundation and professional background, general math, statistics and computer majors, changing careers is the most advantageous, followed by marketing, e-commerce, economics and other professions, these professions also have a certain basic ability to analyze the data, and change careers can be relatively quick to get started.

Expanded Information:

1. Understand the business. Engaged in data analysis work will need to understand the premise of the business, that is, familiar with the industry knowledge, the company's business and processes, it is best to have their own unique insights, if detached from the industry knowledge and the company's business background, the results of the analysis will only be out of the line of the kite, there is not much use value.

2, understand the management. On the one hand is to build the data analysis framework requirements, such as determining the analysis of ideas need to be used to guide the marketing, management and other theoretical knowledge, if you are not familiar with the management theory, it is very difficult to build a data analysis framework, the subsequent data analysis is also very difficult to carry out. On the other hand, the role of the data analysis conclusions for the data analysis to put forward a guiding analysis of the recommendations.

3, understand the analysis. Refers to the mastery of the basic principles of data analysis and some effective data analysis methods, and can be flexibly applied to practical work in order to effectively carry out data analysis.