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Freelance R Shiny Developer Jobs in Texas (NOW HIRING)

Use R packages such as tidyverse, dplyr, ggplot2, and Shiny for analysis and visualization ... Collaborate with business stakeholders, data engineers, and technical teams to understand ...

Programming experience in R or Python; * Work experience with clinical data; * Experience building Shiny web applications; and * Experience building dashboards is preferred (with either PowerBI ...

Programming experience in R or Python; * Work experience with clinical data; * Experience building Shiny web applications; and * Experience building dashboards is preferred (with either PowerBI ...

Programming experience in R; * Work experience with clinical data ... Experience building web applications is preferred (with either Shiny or Streamlit); and

Programming experience in R; * Work experience with clinical data ... Experience building web applications is preferred (with either Shiny or Streamlit); and

Senior Process Engineer

Dallas, TX · On-site

$103K - $133K/yr

Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ... Partner with operations, quality, safety and engineering teams on short term and long term ...

Senior Process Engineer

Dallas, TX · On-site

$102K - $133K/yr

Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ... Partner with operations, quality, safety and engineering teams on short term and long term ...

Senior Process Engineer

Dallas, TX · On-site

$102K - $133K/yr

Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ... Partner with operations, quality, safety and engineering teams on short term and long term ...

Python, R/Shiny, Tableau, Power BI * Experience with SQL and other modern data storage technologies ... Fluent in SQL * Ability to work independently with minimal Engineering support * Extensive ...

Apply knowledge of Python, R, Scala, or SQL. Apply experience with big data platforms including ... engineering practices to drive impactful business insights and solutions. Apply knowledge in ...

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Freelance R Shiny Developer information

What is a freelance R Shiny developer?

Freelance R Shiny Developers are independent professionals who design, build, and maintain interactive web applications using R and the Shiny framework. They typically work on a contract or project basis for various clients, helping to transform data analysis and statistical models into user-friendly dashboards and tools. Their responsibilities may include data visualization, UI/UX design, deploying Shiny apps, and integrating them with other technologies. Since they work freelance, they often manage multiple projects and clients simultaneously, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a freelance R Shiny developer?

To thrive as a Freelance R Shiny Developer, you need strong proficiency in R programming, Shiny app development, and a solid understanding of data analysis or statistics, often supported by a degree in a quantitative field. Familiarity with version control systems (like Git), cloud deployment platforms, and knowledge of relevant R packages are typically required. Excellent problem-solving, communication, and client management skills set successful freelancers apart. These skills and qualities are essential for delivering effective, user-friendly applications and maintaining strong client relationships in a competitive freelance market.

What are some common challenges faced by freelance R Shiny developers when working with clients remotely?

Freelance R Shiny developers often encounter challenges such as clearly understanding client requirements, managing communication across different time zones, and ensuring that the application meets both technical and business needs. Since projects are typically remote, it is important to establish regular check-ins, use collaborative tools for feedback, and maintain thorough documentation. Additionally, balancing multiple projects and staying updated on the latest R Shiny features can be demanding, but these practices help ensure successful project delivery and client satisfaction.

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

AspectFreelance R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app developmentData manipulation, visualization, statistical analysis
Work EnvironmentIndependent, project-based, remote or on-siteCorporate or organizational settings, often full-time
CertificationsR programming, Shiny development experienceData analysis, statistics, or related certifications
Industry UsageTech, healthcare, finance, research projectsBusiness intelligence, market research, reporting

While both roles involve working with data, a Freelance R Shiny Developer specializes in creating interactive web applications using R and Shiny, often on a project basis. A Data Analyst focuses on interpreting data, generating reports, and providing insights within organizations. The developer role emphasizes technical web app skills, whereas the analyst role centers on data interpretation and communication.

What are the most commonly searched types of R Shiny Developer jobs in Texas?

The most popular types of R Shiny Developer jobs in Texas are:

What job categories do people searching Freelance R Shiny Developer jobs in Texas look for?

The top searched job categories for Freelance R Shiny Developer jobs in Texas are:

What cities in Texas are hiring for Freelance R Shiny Developer jobs?

Cities in Texas with the most Freelance R Shiny Developer job openings:

Python/R Analyst

Richmond, TX • On-site

Other

Posted 12 days ago


Job description

Job Description

We are looking for an experienced Python / R Data Analyst with 3+ years of hands-on experience in Python, R, data analysis, statistical modeling, and data visualization. The ideal candidate will analyze complex datasets, identify meaningful insights, and work with business and technical teams to support data-driven decision-making.

Key Responsibilities

  • Analyze large and complex datasets using Python and R.
  • Develop data analysis and statistical models to identify trends, patterns, and business insights.
  • Write clean, efficient, and reusable Python and R code for data processing and analysis.
  • Perform data cleaning, transformation, validation, and exploratory data analysis (EDA).
  • Use Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization.
  • Use R packages such as tidyverse, dplyr, ggplot2, and Shiny for analysis and visualization.
  • Develop dashboards, reports, and visualizations to communicate analytical findings.
  • Work with SQL databases to extract and analyze data.
  • Collaborate with business stakeholders, data engineers, and technical teams to understand requirements.
  • Present analytical findings and recommendations to technical and non-technical stakeholders.
  • Ensure data quality, accuracy, and consistency across analytical outputs.

Required Qualifications

  • 3+ years of professional experience with Python.
  • 3+ years of professional experience with R.
  • Strong experience with Pandas, NumPy, Matplotlib, and Seaborn.
  • Strong knowledge of R, Tidyverse, dplyr, and ggplot2.
  • Strong SQL skills and experience working with relational databases.
  • Experience with data cleaning, manipulation, and exploratory data analysis.
  • Strong understanding of statistics and data analysis techniques.
  • Experience creating data visualizations and analytical reports.
  • Strong problem-solving and analytical skills.
  • Excellent communication and stakeholder-management skills.

Preferred Qualifications

  • Experience with Machine Learning and predictive analytics.
  • Experience with Scikit-learn or other Python ML libraries.
  • Experience with R Shiny.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with Tableau or Power BI.
  • Experience working in Agile/Scrum environments.