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Remote R Shiny Developer Jobs in Louisiana (NOW HIRING)

Remote R Shiny Developer information

What are some common challenges faced by Remote R Shiny Developers when collaborating with distributed teams?

Remote R Shiny Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication regarding project requirements, and maintaining code consistency within a collaborative environment. To address these, teams typically rely on regular virtual meetings, shared documentation, and version control systems like Git. Building strong communication skills and being proactive in providing updates can help streamline teamwork and reduce misunderstandings, ultimately leading to more efficient project delivery.

What is a Remote R Shiny Developer?

A Remote R Shiny Developer is a software professional who specializes in building interactive web applications using the R programming language and the Shiny package, while working from a location outside of a traditional office setting. These developers are responsible for designing, coding, and maintaining Shiny apps that allow users to visualize and analyze data interactively. They often collaborate with data scientists, analysts, and business stakeholders to deliver solutions for data-driven decision making. Remote R Shiny Developers need strong skills in R programming, web development, and communication tools to work effectively in distributed teams.

What are the key skills and qualifications needed to thrive as a Remote R Shiny Developer, and why are they important?

To thrive as a Remote R Shiny Developer, you need strong proficiency in R programming, data visualization, and experience building interactive web applications with Shiny, often supported by a degree in computer science, statistics, or a related field. Familiarity with version control systems like Git, deployment tools such as Shiny Server or Docker, and knowledge of SQL databases are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively in remote teams and deliver user-focused solutions. These skills ensure robust, maintainable applications and smooth teamwork in a distributed work environment.

What is the difference between Remote R Shiny Developer vs Data Analyst?

AspectRemote R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, data visualization, web app developmentData manipulation, statistical analysis, Excel, SQL
Work EnvironmentRemote, project-based, software development teamsRemote or on-site, business intelligence teams
Industry UsageTech, healthcare, finance, researchFinance, marketing, healthcare, consulting

Remote R Shiny Developers focus on building interactive web applications using R and Shiny, often working in software or tech environments. Data Analysts analyze data sets to generate insights, typically using statistical tools and visualization software. While both roles may work remotely and require analytical skills, R Shiny Developers specialize in app development, whereas Data Analysts focus on data interpretation and reporting.

What cities in Louisiana are hiring for Remote R Shiny Developer jobs? Cities in Louisiana with the most Remote R Shiny Developer job openings:

Data Analyst (SR-5269058-DA)

LMG Technology Services LLC

Baton Rouge, LA • Remote

Other

Posted 22 days ago


Job description

Remote - United States

I.  DESCRIPTION OF SERVICES

The scope of the proposed services will include the following:

  • Coordinate various data sources within an organization.
  • Perform data profiling and discovery.
  • Gather and interpret business requirements.
  • Create data documentation.
  • Perform data modeling and design.

II.  CANDIDATE SKILLS AND QUALIFICATIONS

Years

Required/Preferred

Experience

2

Required

Working on data migration or data integration projects with specific experience with cleaning data, running basic reports, and maintaining existing dashboards.

2

Required

SQL experience writing queries to extract data from relational databases.

2

Preferred

Programming languages commonly used for data analysis such as Python or R.

2

Preferred

Experience with data visualization tools such as Tableau, Power BI, or Looker.

2

Preferred

Working on a development team.

2

Preferred

Completion of two or more full-scale data migration projects (legacy to cloud or legacy to modern ERP/CRM).

2

Preferred

Working in an Agile/Scrum environment.

Note: Expected Start Date 07/01/2026 and Expected End Date 06/30/2029.

Hours worked should be within the State's core hours of 7:00 AM CT to 6:00 PM CT. In addition, Contractor personnel may be required to work on State holidays, weekends and hours outside of the State's core business hours in order to meet critical deadlines.