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Remote R Shiny Developer Jobs in Wood Dale, IL (NOW HIRING)

Lead Decision Science Analyst, Remote (EST/ CST hours). Start date is ASAP for this 6-Month ... Partner cross-functionally with Product, Engineering, Marketing, and Finance leaders to develop and ...

Solutions Architect - Manufacturing

Chicago, IL · On-site +1

$65 - $85.50/hr

... remote candidates in other locations in various cities around the Central US. Mission We are ... Production programming experience in Python, R, Scala or Java * Nice to have: Databricks ...

If remote, candidates should be located near a major metro area. This role is contributing to the ... Lead crossfunctional execution across engineering, operations, supply chain, and sales to ...

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... Python, R, SQL, Tableau and Power BI. * Cloud environments including: AWS, Azure, and GCP Data Lake ...

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data ... programming languages such as Python, R, and SQL. ● Familiarity with big data technologies ...

... remote global workforce. We are seeking a dynamic and experienced DS/AI Tech Partner (a Data ... Proficiency in programming languages such as Python, R, and SQL. Familiarity with big data ...

Postdoctoral Fellow

Chicago, IL · On-site +1

$75K - $100K/yr

Proficient in R, Python or other analytical programming language OR desire to acquire analytical ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Posted today

Work with Product and Engineering teams to streamline workflow of computational analyze Contribute ... Proficient in R, Python, and SQ Previous experience working with large transcriptome data sets.

Showing results 21-40

Remote R Shiny Developer information

See Wood Dale, IL salary details

$13

$49

$88

How much do remote r shiny developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for remote r shiny developer in Wood Dale, IL is $49.15, according to ZipRecruiter salary data. Most workers in this role earn between $26.35 and $67.07 per hour, depending on experience, location, and employer.

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?

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 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 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 are popular job titles related to Remote R Shiny Developer jobs in Wood Dale, IL?

For Remote R Shiny Developer jobs in Wood Dale, IL, the most frequently searched job titles are:

What cities near Wood Dale, IL are hiring for Remote R Shiny Developer jobs?

Cities near Wood Dale, IL with the most Remote R Shiny Developer job openings:

Lead Decision Science Analyst

Oak Brook, IL • Remote

$80 - $90/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 23 days ago


Job description

Apply now: Lead Decision Science Analyst, Remote (EST/ CST hours). Start date is ASAP for this 6-Month Contract-to-Hire position. Job Title: Lead Decision Science Analyst Location-Type: Remote (CST/EST Hours required) Start Date: ASAP Duration: 6-Month Contract-to-Hire Compensation Range: $80-90/hr Benefits: Eligible for Health, Dental, Vision, and 401K Visa Sponsorship: Not eligible for visa sponsorship Job Description:
  • This role translates complex data into strategic insights that directly influence product, marketing, and business decisions for the client through causal inference, experimentation, and deep exploratory analytics.
Job Summary
  • Conduct deep exploratory, diagnostic, and causal analyses to identify growth levers and quantify the business impact of key initiatives.
  • Design, analyze, and interpret A/B tests and other causal inference approaches, ensuring test validity and clear stakeholder readouts.
  • Partner cross-functionally with Product, Engineering, Marketing, and Finance leaders to develop and monitor KPIs and evaluate initiative impact.
  • Translate technical findings into clear, actionable recommendations for senior stakeholders through verbal, written, and visual communication.
  • Utilize SQL and Python to extract, manipulate, integrate, and analyze large datasets across multiple data platforms.
  • Identify leading indicators, behavioral trends, and segmentation opportunities to guide organizational strategy.
  • Provide guidance to associate and senior analysts on analytics best practices, experimental design, and statistical rigor.
Minimum Requirements:
  • Bachelor's degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or a related field with significant analytical coursework.
  • 5 years of relevant experience in an analytics role, preferably in product, marketing, or growth analytics.
  • 2 years of experience building dashboards and reports in Power BI, Tableau, or comparable visualization tools.
  • 2 years applying experimentation and causal inference methods (A/B tests, quasi-experiments) in product or marketing contexts.
  • Exceptional SQL skills with a strong track record of working with complex datasets, including data extraction and manipulation.
  • Experience with Azure or other cloud environments
  • Proficiency in Python and/or R for statistical analysis and data manipulation.
  • Strong verbal and written communication skills, with the ability to translate complex concepts into actionable business insights for non-technical stakeholders.
  • Experience with data warehouse and data modeling concepts and procedures.
  • Background in SaaS/technology-focused organization
Preferred Qualifications:
  • MBA or Master's degree in a related analytical field.
  • Experience with Databricks.
  • Experience with IoT, SaaS, or intelligent consumer products and services.
  • Familiarity with Salesforce, SAP, or CDP platforms such as Tealium.
  • Experience with project management and tracking tools such as Jira.