Statistician Needed for Data Analysis with Significance Testing for a 26-item Quant Survey Using SPSS 25

I’m looking for an experienced statistician with excellent data analysis skills in SPSS (version 25 preferable) to run some analysis for me on a short (26 questions) student climate survey. Freelancer should be able to look at the data to determine whether parametric or non-parametric tests of significance are more appropriate for the data set, run the analysis, and summarize findings in tables in MS Excel. I have 17 quasi-independent variables and 20 dependent variables. The data file has been cleaned and basic frequencies have already been run. What is left to do is significance testing for each dependent variable across all 17 independent variables. Once you’ve determined the significance testing to conduct, we will check-in (prior to analysis) to make sure I am on board with the recommended analysis plan. In addition to the SPSS data file, I will also share a project description/analysis plan that summarizes each variable and includes the original survey (with coding notes). The deliverables for this project are: 1) fill-in two tables in analysis plan with the significance testing conducted for each independent and dependent variable, and confirm the measurement type; 2) SPSS output file with all results; 3) SPSS output file exported to MS Excel with all layers revealed; 4) MS Excel file with tables created to summarize the significance testing findings per dependent variable (non-significant and significant findings should be included, with significant results highlighted). This is different from the SPSS output file, the pertinent information should be extracted from the SPSS output and summarized into tables. Note: I get these types of projects occasionally, so it would be great to find someone reliable I can work with longterm.