This paper adopts big data technology to gather dynamic and real-time massive recruitment data to forecast labor demand，which is the key to establishing demand-led labor mobility and allocation mechanism，and it is also the proper meaning to promote high-quality employment. The report analyzes based on collecting，cleaning and standardizing the recruitment information of the national public recruitment network in 2020 and 2021. Big data analysis of recruitment shows that there are differences in recruitment demand positions，recruitment numbers，and average salary among countries，regions，industries，and provinces. As the manufacturing industry has a high recruitment demand and low average compensation，the recruitment demand in the construction，real estate industry，education industry and internet industry varies greatly due to policies，industry development and other factors. Further attention should be paid to the analysis and application of microdata. Based on micro dynamic data，the article establish a demand-oriented employment guidance and employment structure optimization adjustment mechanism to improve the quality of employment.