Is it easy for a data analyst to find a job? What is the salary?

Generally speaking, the salary of data analysts is much higher than that of positions at the same level, and most of them are between 2% and 3%. At the same time, data analysts are highly valued by enterprises. In many first-tier and second-tier cities, the annual salary of data analysts is very high, so friends who want to enter the data analysis industry don't have to worry about the salary of data analysis.

And with the rapid development of science and technology, there are more directions for the development of data analysis, and data analysis talents will be more scarce. Especially in China, which is developing rapidly, we will vigorously develop the data analysis industry. This shows that data analysts have a bright future. At the same time, the status of data analyst is not low, no matter in which industry, and data analyst is a general occupation, and it is easy to adapt to data analysis positions in all walks of life.

The work flow of data analyst is simply divided into two parts, the first part is to obtain data, and the second part is to process data.

obtaining relevant data is the premise of data analysis. Every enterprise has its own set of storage mechanisms. Therefore, a basic SQL language is necessary. Have a basic SQL foundation, and then learn the grammar of the details, you can basically get a lot of data. When each requirement is clear, relevant data should be obtained as needed to make basic data.

If you want to change careers, you can first assess your basic and professional background. Majors in general mathematics, statistics and computer science have the most advantages, followed by majors in marketing, e-commerce and economics. These majors also have some basic skills in data analysis and can get started quickly.

Extended materials:

Requirements of data analysts:

1. Understand business. The premise of engaging in data analysis is to know 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 you are divorced from the industry cognition and the company's business background, the analysis result will only be a kite that is off the line, which is of little use value.

2. Understand management. On the one hand, it is the requirement to build a data analysis framework. For example, the theoretical knowledge of marketing and management is needed to guide the determination of analysis ideas. 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 instructive 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 in order to effectively carry out data analysis.