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Programmer Analyst develops dashboard in R Shiny environment to present and visualize data.
Implement the designs and business requirement by writing code & programs concert with company data & computer systems as well as updating or repairing existing programs. Background should also include test planning and execution.

• Expert in data process and visualization in R, with full knowledge of R Shiny and customizing Shiny apps with HTML
• Able to integrate multiple data sources and databases into one system
• Understanding of multi-process architecture
• Understanding of accessibility and security compliance (depending on the specific project environment)
• Knowledge of user authentication and authorization between multiple systems, servers, and environments (already established for specific project environment)
• Understanding of fundamental design principles behind a scalable application
• Strong unit test and debugging skills

Programming skills in:
• Strong skills in R and R Shiny are a must
• SQL/JAVA is a plus

Programmer Analyst Job Requirements:
• Computer-related discipline, computer science, mathematics or engineering is usually preferred.
• 6-10 years programming experience mainly in R and R dashboard development.

from Jobs – Jobs for R-users

Introduction to R

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.

One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control.

R is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.