Are there many civil servants in the Big Data Management and Application Examination?

There are many positions for civil servants in the Big Data Management and Application Examination.

1. Reasons for many jobs:

The management and application of big data is an important direction of current social development and an important demand of government agencies and enterprises. Government agencies and commercial organizations will recruit civil servants in big data management and application. According to relevant data, the number of civil servants who manage and apply big data is increasing, and the demand for recruitment is increasing. The positions mainly include big data management and application analysts.

Big data management and application system administrator, big data management and application technical support engineer, etc. The recruitment requirements of these positions are generally relatively high, requiring strong professional knowledge and skills, certain work experience and good communication skills. In short, the number of civil servants who manage and apply big data is limited, but the recruitment demand is increasing, and there will be more opportunities in the future.

2. Employment prospects:

Data science and big data technology are skills needed in all walks of life. Therefore, data scientists, data engineers, data analysts and other positions are very popular in all walks of life. According to the data of some research institutions, the demand for these occupations is expected to continue to grow.

Salary and development prospect:

Salary and treatment:

Data scientists, data engineers, data analysts and other positions are well paid. According to the data of the Glassdoor website, the average annual salary of American data scientists exceeds $654.38 +0.3 million, and the average annual salary of American data engineers and data analysts also exceeds $654.38 +0.5 million.

Development prospect:

The future development prospects of data science and big data technology are very broad. With the rapid development of Internet, Internet of Things, artificial intelligence and other technologies, more and more data are generated and applied, and the demand for data science and big data technology will also increase. At the same time, data science and big data technology are constantly developing, and new technologies and methods are constantly emerging, providing more opportunities and development space for practitioners.