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R Shiny Remote Jobs (NOW HIRING)

Data Analyst I

Washington, DC · On-site +1

$67K/yr

Proficient understanding of a statistical programming language such as R, Python, or Julia * The ... Remote friendly (within the U.S.) * Pre-tax transportation options for commuting to our office in ...

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R Shiny Remote information

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$37.5K

$122.7K

$196.5K

How much do r shiny remote jobs pay per year?

As of May 29, 2026, the average yearly pay for r shiny remote in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as an R Shiny Developer remotely, you need strong expertise in R programming, experience with Shiny application development, and a background in data analysis or statistics. Familiarity with version control systems like Git, cloud platforms (such as AWS or Azure), and deployment tools is typically required, along with relevant certifications in R or data science being advantageous. Excellent communication, self-motivation, and problem-solving skills are crucial for collaborating across distributed teams and managing projects independently. These skills ensure you can build robust, interactive data applications while effectively contributing to remote teams and meeting project goals.

What are some common challenges faced by R Shiny developers working remotely, and how can they be addressed?

R Shiny developers working remotely often encounter challenges such as coordinating with distributed teams, ensuring efficient communication, and managing version control for collaborative projects. To overcome these, it's essential to use project management tools like Jira or Trello, maintain regular virtual meetings, and leverage platforms like GitHub for code collaboration. Additionally, clear documentation and proactive communication help ensure that all team members are aligned, even when working across different time zones.

What are R Shiny remote jobs?

R Shiny remote jobs involve developing, deploying, and maintaining interactive web applications built with the R Shiny framework, while working from a remote location. These roles typically require strong skills in R programming, data visualization, and web development. Remote R Shiny developers collaborate with teams virtually, contributing to data-driven projects across industries such as healthcare, finance, and research. Common responsibilities include building dashboards, integrating APIs, and optimizing user interfaces for clients or internal stakeholders.

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

AspectR Shiny RemoteData Analyst
Required credentialsBachelor's in Data Science, Statistics, or related field; proficiency in R and ShinyBachelor's or higher in Data Science, Statistics, or related field; strong analytical skills
Work environmentRemote, often project-based or contract rolesTypically office-based or hybrid; some remote options
Industry usageTech, finance, healthcare, and research sectorsBusiness, finance, healthcare, marketing
Common search intentRemote R Shiny developer jobsData analyst roles with remote options

R Shiny Remote professionals focus on developing interactive web applications using R in a remote setting, often requiring coding and deployment skills. Data Analysts analyze data to generate insights, sometimes using R but with broader responsibilities. While both roles may overlap in data handling, R Shiny Remote roles emphasize application development, whereas Data Analysts focus on data interpretation.

More about R Shiny Remote jobs
What cities are hiring for R Shiny Remote jobs? Cities with the most R Shiny Remote job openings:
What are the most commonly searched types of R Shiny jobs? The most popular types of R Shiny jobs are:
What states have the most R Shiny Remote jobs? States with the most job openings for R Shiny Remote jobs include:
Infographic showing various R Shiny Remote job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 89% Physical, 7% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Analyst I

Data Analyst I

BlueLabs, Inc.

Washington, DC • On-site, Remote

$67K/yr

Full-time

Medical, Retirement, PTO

Posted 14 days ago


Job description

About BlueLabs
BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world's greatest social and analytical challenges. Since our inception we've worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we've developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.
About the Team
The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients' work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.
About the Role:
Data Analysts are instrumental members of BlueLabs Data Science and engagement teams. They gain exposure to all parts of our process, from collecting and organizing data, to analyzing trends and predicting outcomes, and working with clients to understand how these insights can be used to improve program efficiency. Data Analysts are able to work both as part of a team and independently, completing projects in a fast-paced environment, error-free, and on short deadlines. You will receive strong mentorship and be given a chance to complete projects independently.
In This Position You Will:
  • Analyze data, as well as contribute to the design, implementation, and delivery of analytics products and services
  • Support the team in building predictive models, tools, and data visualizations
  • Check data and modeling results for quality and clean, transform, aggregate, and report on data as needed
  • Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
  • Strive to support team excellence by documenting processes and evangelizing new approaches
  • Work both independently and as part of a team to deliver accurate products on short deadlines
  • Such other reasonable tasks as assigned by management.

What We Are Seeking:
  • An undergraduate degree in a quantitative field or equivalent work experience
  • Conceptual understanding of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.)
  • Proficient understanding of a statistical programming language such as R, Python, or Julia
  • The ability to create informative and engaging data visualizations using industry leading tools
  • The ability to build predictive models using regression and machine learning techniques
  • The ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally
  • Knowledge of experimental design and causal inference
  • The ability to create user interfaces for new products using frameworks such as Shiny or Django
  • The ability to learn SQL to manipulate data

What We Offer:
BlueLabs offers a friendly work environment and competitive compensation and benefits package including:
  • Salary: $67,000
  • Premier health insurance plan
  • 401K matching
  • Unlimited vacation leave
  • Paid sick, personal, and volunteer leave
  • 13 paid holidays
  • 15 weeks paid parental leave
  • Professional development stipend & tuition reimbursement
  • Macbook Pro laptop & tech accessories
  • Bring Your Own Device (BYOD) stipend for mobile device
  • Employee Assistance Program (EAP)
  • Supportive & collaborative culture
  • Flexible working hours
  • Remote friendly (within the U.S.)
  • Pre-tax transportation options for commuting to our office in Washington, DC
  • Lunches and snacks
  • And more!

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations. BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site).
Collection of Personal Information Notice:
As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.