Statistical Analysis using R programming

I can share this directly with the candidate. Ideally, the candidate has to be in the USA. High-level requirements: 1. R analytical programming support to convert and document data import/export, business rules, econometric models, and workflows 2. Knowledge of analytical programming tools to include, but not limited to: SAS, Stata, Excel, Excel VBA, FORTRAN, GAUSS, GAMS, Git/GitHub, Python and R/R Studio (not all of them are required) 3. Demonstrate Competency in Statistical Analysis 4. Ability to document all conversion processes from legacy tools and methodologies. Documentation should be written in clear, concise “plain language” in the event the new staff is onboarded, to quickly facilitate their personal transition to utilizing R instead of niche tools they may be accustomed to utilizing. Documentation should include embedded scripts and written texts as descriptions and justifications of tasks using R Markdown, Jupyter Notebook, or similar data science documentation tools. R packages with help files as documentation is also required documentation in some business cases. Git and GitHub should be used to record all code and documentation changes and to ensure team collaboration