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