In recent years，digital technology has played an increasingly important role in improving government public services and social governance，and its application scale in labor market search and matching has been expanding. A large number of data resources generated by various market players in the process of job search and recruitment are dynamic and timely. By collecting and analyzing the real-time job information of market demand，the labor market，economic form，etc. can be judged and analyzed，and at the same time，the labor mobility can also be guided. In this paper，big data technology is used to collect and process big data from public recruitment websites that publish recruitment positions in China，and based on the recruitment data of the whole network in 2020，the dimensions of different industries，different regions and different cities are analyzed. Analysis data such as dynamic recruitment demand and market commitment salary can guide workers to obtain accurate employment，improve the quality of public employment services and implement relevant policies.