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From Home 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 ... Office based culture with occasional WFH that provides flexibility for eligible positions after ...

Programming experience in R or Python; * Work experience with clinical data; * Experience building ... Office based culture with occasional WFH that provides flexibility for eligible positions after ...

Experience building web applications is preferred (with either Shiny or Streamlit); and ... Office based culture with occasional WFH that provides flexibility for eligible positions after ...

Experience building web applications is preferred (with either Shiny or Streamlit); and ... Office based culture with occasional WFH that provides flexibility for eligible positions after ...

Senior Process Engineer

Dallas, TX · On-site

$103K - $133K/yr

We recently emerged from stealth with $50M in funding led by top-tier venture investors and ... Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ...

Senior Process Engineer

Dallas, TX · On-site

$102K - $133K/yr

We recently emerged from stealth with $50M in funding led by top-tier venture investors and ... Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ...

Senior Process Engineer

Dallas, TX · On-site

$102K - $133K/yr

We recently emerged from stealth with $50M in funding led by top-tier venture investors and ... Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ...

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 ...

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From Home R Shiny Developer information

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

AspectFrom Home R Shiny DeveloperFrom Home Data Analyst
Required SkillsProficiency in R, Shiny, data visualizationData analysis, Excel, SQL, visualization tools
Work EnvironmentRemote, project-basedRemote, reporting-focused
Industry UsageTech, healthcare, financeMarketing, finance, consulting

While both roles often work remotely and require data skills, From Home R Shiny Developers focus on building interactive web applications using R, whereas From Home Data Analysts analyze data sets to generate insights. The developer role emphasizes coding and app deployment, while the analyst role centers on data interpretation and reporting.

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 From Home R Shiny Developer jobs in Texas look for?

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

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

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

Infographic showing various From Home R Shiny Developer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution.

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.