Abstract: In order to solve different requirements for decision accuracy and noise adaptation, but some decision tree algorithms by C4.5 and base on Rough Set(RS) are used in the analysis of employment data, are unable to solve those problems,this paper present the algorithm to build decision tree based on Multiscale Rough Set Mode into employment data analysis，do a test on employment data of a university in 2012 for training set, and compare results with C4.5 and base on RS. The results show that decision treeconstructed by MRSM is simple, and decision-making rules are Concise, and the data set is end classification, and faster computing speed.