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Tidyverse Jobs (NOW HIRING)

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 ...

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 ...

Use Python or R (e.g. pandas, NumPy, scikit-learn, statsmodels, tidyverse, caret) for exploratory data analysis, statistical modelling, and scripted reporting workflows * Champion self-service ...

Use Python or R (e.g. pandas, NumPy, scikit-learn, statsmodels, tidyverse, caret) for exploratory data analysis, statistical modelling, and scripted reporting workflows * Champion self-service ...

Use Python or R (e.g. pandas, NumPy, scikit-learn, statsmodels, tidyverse, caret) for exploratory data analysis, statistical modelling, and scripted reporting workflows * Champion self-service ...

Use Python or R (e.g. pandas, NumPy, scikit-learn, statsmodels, tidyverse, caret) for exploratory data analysis, statistical modelling, and scripted reporting workflows * Champion self-service ...

Use Python or R (e.g. pandas, NumPy, scikit-learn, statsmodels, tidyverse, caret) for exploratory data analysis, statistical modelling, and scripted reporting workflows * Champion self-service ...

R (tidyverse, visualization, basic modeling); visualization tools (Tableau; Power BI a plus). Experience leading data teams and building staff capacity through training and mentorship. Excellent ...

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Tidyverse information

What are the key skills and qualifications needed to thrive as a Tidyverse Data Analyst, and why are they important?

To thrive as a Tidyverse Data Analyst, you need strong data manipulation, visualization, and statistical analysis skills, typically supported by a degree in statistics, data science, or a related field. Proficiency in R programming and mastery of Tidyverse packages (such as dplyr, ggplot2, tidyr, and readr) are essential, along with knowledge of version control systems like Git. Analytical thinking, attention to detail, and clear communication are standout soft skills in this role. These skills ensure accurate data insights, reproducible workflows, and effective collaboration with stakeholders for data-driven decision-making.

How does working as a Tidyverse data analyst typically involve collaboration with other teams or departments?

As a Tidyverse data analyst, collaboration is a core aspect of the role. You'll often work closely with stakeholders from various departments, such as marketing, finance, or product teams, to understand their data needs and translate them into actionable insights using R and the Tidyverse package suite. Regular communication is essential for gathering requirements, presenting findings, and ensuring that analyses align with business goals. Additionally, you may partner with data engineers or IT to access and manage datasets, and with other analysts to share best practices and streamline workflows.

What are Tidyverse packages?

The Tidyverse is a collection of R packages designed for data science. These packages share an underlying design philosophy, grammar, and data structures, making it easy to manipulate, explore, and visualize data. The core Tidyverse packages include ggplot2, dplyr, tidyr, readr, purrr, tibble, stringr, and forcats, among others. They help streamline common data analysis tasks and are widely used by R programmers for efficient and readable code.

What is the difference between Tidyverse vs Data Analyst?

AspectTidyverseData Analyst
Primary FocusData manipulation, visualization, and analysis using R packagesInterpreting data, creating reports, and supporting decision-making
Skills & ToolsR programming, ggplot2, dplyr, tidyr, readrExcel, SQL, statistical analysis, data visualization tools
Work EnvironmentData science teams, research labs, analytics departmentsBusiness, finance, marketing, healthcare sectors
Required CredentialsKnowledge of R, data analysis, statisticsDegree in statistics, data science, or related fields

While Tidyverse refers to a collection of R packages for data manipulation and visualization, Data Analysts utilize these tools along with other skills to interpret data and generate insights. Tidyverse is a technical toolkit, whereas Data Analyst is a role that applies these tools in various industries to support decision-making.

More about Tidyverse jobs
What cities are hiring for Tidyverse jobs? Cities with the most Tidyverse job openings:
What states have the most Tidyverse jobs? States with the most job openings for Tidyverse jobs include:
Infographic showing various Tidyverse job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 91% Full Time, 2% Part Time, 1% Temporary, and 5% Contract. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution.
Junior Data Analyst in Reston VA

Other

Posted 19 days ago


Job description

Junior Data Analyst

Reston VA

Skillsets:

  • 3 4 years of hands-on experience in data analysis, business intelligence, or analytics.
  • Strong proficiency in SQL (joins, window functions, aggregations, query optimization).
  • Advanced Excel/Google Sheets skills (pivot tables, lookups, formulas, basic modeling).
  • Experience building dashboards/reports in at least one BI tool (Power BI, Tableau, or Looker).
  • Working knowledge of Python or R for data manipulation (pandas or tidyverse).
  • Solid understanding of data visualization best practices and storytelling with data.
  • Basic statistics knowledge (distributions, hypothesis testing, confidence intervals).
  • Experience with large datasets and relational data modeling fundamentals (star/snowflake).