RShiny Developer

RShiny Developer and Admin
Remote , PST
Contract

R Shiny Application Development: Create and maintain interactive web applications using R Shiny, allowing end-users to visualize and interact with data in an intuitive manner.

Manage the R libraries and packages. Installation and administration of packages on Linuz servers to according QC process
Data Visualization: Collaborate with data scientists, analysts, and stakeholders to design visually compelling and user-friendly dashboards, charts, and reports.
Data Integration: Integrate data from various sources, including databases, APIs, and flat files, ensuring data accuracy and reliability. Performance Optimization: Identify and resolve performance bottlenecks in Shiny applications to ensure smooth and efficient user interactions.
Quality Assurance: Conduct thorough testing and debugging of Shiny applications to ensure functionality, reliability, and security.
Documentation: Maintain comprehensive documentation for code, applications, and processes to facilitate knowledge sharing and team collaboration.
Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, and project managers, to understand project requirements and deliver solutions that meet business objectives.
Stay Current: Stay updated on the latest trends and best practices in R Shiny development and data visualization to continuously improve our applications.

Qualifications:
Proven experience as a Technical Lead or similar role, with a strong focus on data analytics and statistical programming.
Expertise in R Shiny, R Statistical Package, R Studio, and R Admin is mandatory.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Excellent leadership and team management skills, with the ability to motivate and lead cross-functional teams.
Strong problem-solving skills and the ability to work under tight deadlines.
Excellent communication and interpersonal skills, with the ability to present complex data in a clear and concise manner.

Roles & Responsibilities:

Lead the development and implementation of advanced analytics projects using R Shiny, ensuring high-quality deliverables.
Oversee the integration of R Statistical Package and R Studio tools to enhance data analysis and visualization capabilities.
Manage a team of data analysts and programmers, providing guidance and support to achieve project objectives.
Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions.
Ensure the security and compliance of analytics platforms, particularly focusing on SAS Admin responsibilities.
Develop and maintain project timelines, ensuring timely completion of tasks and milestones.
Conduct thorough data analysis and provide insights to stakeholders to support strategic decisions.
Collaborate with data scientists, analysts, and stakeholders to design visually compelling and user-friendly dashboards, charts, and reports.
Maintain up-to-date knowledge of industry trends and advancements in data analytics and statistical programming.