Is it easy for data analysts to find jobs? What is the salary?

The salary of data analysts is generally not much higher than that of their peers, mostly between 20% and 30%. 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. Friends who want to enter the data analysis industry don't have to worry about the salary of data analysis.

And now the development of science and technology is getting faster and faster, which makes the development direction of data analysis more, and the talents of data analysis will be more scarce. Especially in the rapidly developing China, we will vigorously develop the data analysis industry. This shows that data analysts have a bright future. At the same time, no matter in which industry, the status of data analyst is not low, and data analyst is a general profession, which is easy to adapt to data analysis positions in all walks of life.

The workflow 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 mechanism. Therefore, a basic SQL language is necessary. With a basic SQL foundation, you can basically get a lot of data by learning the detailed grammar. When each requirement is clear, obtain relevant data as needed and make basic data.

If you want to change careers, you can first evaluate 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 a certain basic ability in data analysis and can get started quickly.

Extended data:

Data analysts need:

1, understand business. The premise of engaging in data analysis is to understand the business, that is, to be familiar with the industry knowledge and 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, 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 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 applying them flexibly to practical work in order to effectively analyze data.