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R Tidyverse Jobs (NOW HIRING)

Skillify Solutions

Python/R Analyst

Richmond, TX · On-site

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 ...

Socket.dev

Data Scientist

Chantilly, VA · On-site

Tools: AWS, Spark, Kafka, Tableau, Python (TensorFlow, PyTorch), R (tidyverse, RShiny), Splunk, Agile/Scrum/Jira/Confluence preferred. Data Scientist, Level 3 (Senior) * Oversees data science ...

GSI Environmental

Environmental Data Analyst

Olympia, WA · On-site

$76K - $110K/yr

Experience using Python and/or R (Tidyverse, Shiny) for data analysis, visualization, dashboards, and web applications, including hands-on project work. * Self-motivated and eager to learn, with a ...

Green Mountain Transit

Transit Data Analyst

Burlington, VT · On-site

$53K - $63K/yr

Must have demonstrated experience processing and analyzing data using statistical programming languages such as R (tidyverse) and/or Python (pandas). * Must have demonstrated experience creating data ...

Cmbio

Principal Microbiome Scientist

Germantown, MD · On-site

$100K - $140K/yr

Demonstrated hands-on experience analyzing microbiome datasets using R (tidyverse) in research or industry settings * Full professional proficiency in English and strong scientific writing and ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience for querying, joining, filtering, and preparing datasets. * Tableau, Power BI, R Shiny, or similar ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience for querying, joining, filtering, and preparing datasets. * Tableau, Power BI, R Shiny, or similar ...

Northwestern University

Statistical Analyst

Evanston, IL · On-site

$70K - $80K/yr

Advanced proficiency in R and R Markdown for data management, analysis, and report generation, including the ability to write clean, well-documented, and reproducible code using the tidyverse and ...

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R Tidyverse information

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$124K

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How much do r tidyverse jobs pay per year?

As of Sep 10, 2026, the average yearly pay for r tidyverse in the United States is $124,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What is R Tidyverse?

R Tidyverse is a collection of open-source R packages designed for data science tasks such as data manipulation, visualization, and analysis. The core packages, including dplyr, ggplot2, tidyr, readr, and others, share an underlying design philosophy and grammar for handling data in a consistent and intuitive way. Tidyverse makes working with data in R more streamlined, readable, and efficient, especially for tasks like data cleaning, transformation, and plotting. It is widely used by data analysts, statisticians, and researchers for its ease of use and powerful functionality.

What are the key skills and qualifications needed to thrive as an R Tidyverse data analyst?

To thrive as an R Tidyverse Data Analyst, you need a strong understanding of data manipulation, statistical analysis, and R programming, often supported by a degree in statistics, data science, or a related field. Proficiency with the Tidyverse suite of packages (such as dplyr, ggplot2, tidyr) and familiarity with data visualization and version control systems like Git are essential. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills ensure accurate data analysis, clear insights, and effective collaboration with stakeholders to drive data-driven decisions.

How does a data analyst using the R Tidyverse typically collaborate with other team members on projects?

As a data analyst specializing in the R Tidyverse, you will often work closely with data engineers, domain experts, and business stakeholders to ensure data is clean, well-structured, and insights are actionable. Collaboration frequently involves sharing reproducible R scripts or RMarkdown reports, participating in code reviews, and integrating with version control systems like Git. Clear communication and documentation are key, as you may need to explain your data wrangling and visualization processes to non-technical team members. Regular meetings and collaborative platforms help align project goals and ensure smooth handoffs between roles.

What is the difference between R Tidyverse vs R Data Analyst?

AspectR TidyverseR Data Analyst
Required SkillsProficiency in R, Tidyverse packages (dplyr, ggplot2, tidyr)R programming, data manipulation, statistical analysis
Work EnvironmentData science teams, analytics projectsBusiness analysis, reporting, data interpretation
Industry UsageData science, research, analyticsFinance, marketing, healthcare, research

R Tidyverse focuses on data manipulation and visualization using specific R packages, while R Data Analysts perform broader data analysis tasks, including statistical modeling and reporting. Both roles require R skills, but R Tidyverse emphasizes data wrangling and visualization, whereas R Data Analysts apply these skills in diverse business contexts.

Infographic showing various R Tidyverse job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 97% Full Time, and 2% Contract. Highlights an 43% Physical, 8% Hybrid, and 49% Remote job distribution, with an average salary of $124,000 per year, or $59.6 per hour.

Python/R Analyst

Richmond, TX • On-site

Skillify Solutions
See more jobs at Skillify Solutionsexternal

Other

Posted 13 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.

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