Dumping of municipal solid waste in an open dumping site is a big threat to the environment affecting all the natural resources. This threat reaches to groundwater through leachate which even though takes a lot of time to percolate, through the soil profile and rocks beneath, and reach the water table but once contaminated it is very difficult to clean the groundwater. This has given a motto to attempt a study on the groundwater quality analysis of the area in and around Mathuradaspura dumping site which is receiving around 500 to 600 tonnes of solid waste daily from Jaipur Municipal Corporation. The study was taken up during 2020 and about 26 water samples were collected from the dump site and its vicinity. These samples were analysed for basic quality parameters and heavy metals. The variability of water quality in the area was figured out by subjecting the parameters to multivariate statistical analysis including correlation analysis (CA), Principal component analysis (PCA) and Hierarchical Cluster Analysis (HCA). Correlation analysis and PCA helped in establishing the inter-relationship of the quality parameters and major parameters responsible for deciding the groundwater quality of the area and their possible causes, respectively. The PCA confirmed the results of CA by classifying the parameters into four principal components that area responsible for total 76% variance of hydrochemical data of the study area. The application of HCA has resulted into the formation of three clusters each of Q and R modes depending on dominant chemical composition which describes the spatial distribution of samples and the possible causes influencing the groundwater quality of the study area.