Employment direction and prospect of big data

This era is the era of big data and the era when big data talents are scarce.

Due to the large talent gap in China, the advantages of big data are increasingly prominent. As a new technology that can analyze, predict and monitor in real time, it is being favored by various industries. The recruitment and retraining of talents have become just needed, which also makes the salary of big data talents the highest in the same position. Mastering big data technology and raising wages by about 40% is common.

The employment field of big data is very broad. Whether in the field of science and technology, food industry, retail industry, etc. Big data talents are needed to deal with big data, so as to provide a better user experience, optimize inventory, reduce costs and forecast demand.

Hot jobs in the era of big data

1, data planner

Before a product is designed, it can provide key data support for enterprise decision-making, maximize the value of enterprise data, better implement differentiated competition, and help enterprises gain the first opportunity in the competition.

2. Data Engineer

Designers, builders and managers of big data infrastructure develop an architecture that can analyze and provide data according to the needs of enterprises. At the same time, their architecture can also ensure the smooth operation of the system.

3. Data Architect

Good at dealing with scattered data and all kinds of irrelevant data, proficient in statistical methods, able to obtain original data through monitoring system and interpret data from a statistical point of view.

4. Data analyst

The responsibility is to transform data into information that can be used by enterprises through analysis. They find problems through data, accurately find the causes of problems, and find the key points for further improvement.

5. Data Application Division

Restore data to the product for use by the product. They can express the information contained in the data in a language that ordinary people can understand, and promote internal adjustment according to the conclusion of data analysis.

6. Data scientist

Big data leaders with a variety of interdisciplinary scientific and business skills can turn data and technology into business value of enterprises.