Corelation analysis for categorical variables and categorical target

I wanted to perform a corelation analysis where my target variable is churn(categorical) and my independant variables are either categorical(33 variables) , nominal and few are continuous.

Using one-hot encoding creates too many variables.What is the correct way to analyze this and understand the effect of the independant variables to the target Churn?