You can start by looking at a few data, according to the hunting data, the average salary of data analysts in 20k +, the average monthly salary of freshers are in 10k +. At present, the ability to analyze data has become a necessary general ability in various industries. Research shows that people with data analysis skills are paid 30% more than the average person, while the unemployment rate of people without data analysis skills is 2 times that of the average person.

Data analysts not only have a huge advantage in salary, this position will continue to have a huge gap in the future. According to McKinsey consulting authority predicted that in 2025 China will need data talent up to 2.2 million.

McKinsey's prediction is not empty. We have researched the number of data analyst recruitment in the current market, take boss direct hire as an example, the first screenshot shows the number of data analyst jobs in Chengdu, you can see that the demand for a number of data analyst positions are in the 10k +.

First of all, it is certainly very promising in terms of job prospects.

After understanding the broad industry outlook and industry salary for data analysts, we are now going to give you an in-depth analysis of the path of development and promotion of data analysts.

In general, junior data analysts can develop in two directions: technical and non-technical. This really means choosing between "business" or "technical". If a junior data analyst wants to go deeper into the business, there are two positions to choose from: one is data operations, and the other is data product manager.

Data operation is a branch of the operation position, the job responsibility is to need to know the operation business model, and requires the ability to optimize the operation decision through data analysis. The data product manager, on the other hand, is required to know the product business model, and is required to optimize the product functions through data analysis.

Junior data analyst, if you choose to develop in the technical direction, there are many positions to choose from, such as algorithm engineers, big data development, data scientists and so on. For the responsibilities of these positions, you can refer to the following explanations.

1, algorithm engineer

Use mathematical and statistical knowledge, programming and business thinking to build mathematical models, is deservedly the soul of the product.

2, data development engineers

Data engineers belong to the technical post, responsible for building databases, processing data, maintaining data security and other work, mainly to serve the users of data, such as the above data analysts, data product managers, and data modelers.

3, data scientists

Data scientists belong to a comprehensive talent, set of data analysis capabilities (> data analysts), statistical foundation, business capabilities (> data products), algorithms (> algorithm engineers) and communication skills in one. This type of talent belongs to the top of the data analysis industry, all aspects of the ability to superb, but this type of talent is quite rare, in the industry is basically encountered but not sought.

Finally finished the data analyst career development direction, and then return to the most important industry essence it. The most essential factor in choosing an industry or position is the track. This is very simple, people need to be in an industry where the ceiling is constantly rising, the ceiling of the development of personal career can follow upward. We all know that only in the road is very wide, not crowded track can run fast, but also only in a capital are pouring into the market to earn more money.

In summary, the employment prospects of data analysts is very good, if you want to become a good data analyst, to first find their own direction, to establish a career goal, and then gradually master the necessary skills of data analysts, in the basic operation of the software to continue to improve their application.