Education system is the essential component of the country development. It plays a major role to development of country. Thus the teaching staff who can develop the youth, they must be the qualified, nationalizes and dedicated. This analysis is based on the recruitment of the teaching staff. In order to analyze the rules given for assistant professor and associate professor by University Grant Commission, this paper generates an application of data mining for staff recruitment in education system. This application generates the result analysis using WEKA tool based on the candidate’s different parameters. Different data mining techniques are developed & used to digging out required data & to find the hidden relationship from the large amount of data stored in database. In this paper how data mining task can be applied, analyze and explained from the varieties of popular task like clustering, association, classification etc. is discussed. The objective of this paper is to identify whether the candidate is applicable for the post of assistant professor or associate professor on the basis of some parameter like candidate’s degree, qualification, experience, API score.