This era is the era of big data, but also the era of big data talent scarcity.

Because of the relatively large talent gap in China, the advantages of big data have become increasingly prominent, as a new technology that can be analyzed, predicted, and monitored in real time is being favored by various industries. Both the recruitment and retraining of talents have become in demand, which has contributed to the fact that the salaries of big data talents are the highest among the same positions, and it is very common to see a salary increase of about 40% by mastering big data technology.

The employment field of big data is very wide, whether it is in the field of science and technology, or the food industry, the retail industry, etc., are in need of big data talents to process big data, in order to provide better user experience, as well as to optimize the inventory, reduce the cost, and predict the demand.

Hot careers in the era of big data

1, data planner

Before a product is designed, it provides critical data support for various decisions of the enterprise, maximizes the value of enterprise data, better implements differentiated competition, and helps the enterprise to gain a head start in the competition.

2. Data engineers

Designers, builders, and managers of big data infrastructures develop architectures that analyze and deliver data according to the needs of the enterprise. At the same time, their architectures ensure that systems can run smoothly.

3, data architect

Specialized in dealing with scattered data, all kinds of disjointed data, proficient in statistical methods, able to obtain raw data through the monitoring system, and interpret the data in a statistical perspective.

4, data analyst

Responsibilities are to transform data into information that can be used by the organization through analysis. They use the data to find problems, pinpoint why they occur, and find key points for the next step in improvement.

5. Data Applicator

Restore the data to be used by the product. They are able to express the information contained in the data in a language that can be understood by ordinary people, and push the company to make internal adjustments based on the conclusions of data analysis.

6, data scientists

Leaders in big data, with a wide range of cross-science and business skills, are able to turn data and technology into business value for the organization.