This paper analyzes the recruitment information of enterprise information technology jobs in Dalian located on recruitment websites, in order to predict the future demand for enterprise information technology jobs in Dalian. This paper uses the Python programming language to write a crawler program to process and analyze the acquired data, from the distribution of job industries, company size, the position requirements of different companies for the talents, and the relationship between the salary and the job information educational requirements and work experience. This paper establishes the GM (1, 1) differential equation model, uses the least squares method to calculate the development coefficient and the gray role quantity, and obtains the prediction equation. Through in-depth understanding of the law of the change of information technology job demand, exploring the influencing factors, and forecasting the future job demand and prospects of the industry, it has certain reference significance for job seekers who wish to engage in the industry in the future as well as colleges and universities that offer related majors.

Jingshu Wang, Chenhui Xi. Analysis and Prediction of Job Demand of Enterprise Informatization Talents Based on Big Data. International Journal of Big Data Intelligent Technology (2024), Vol. 5, Issue 1: 96-102. https://doi.org/10.38007/IJBDIT.2024.050111.

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