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Contractual R Programming Language Jobs (NOW HIRING)

Prophecy Technologies

Data Scientist

Atlanta, GA · On-site

R programming language. * Skywise Palantir. * Domo. * SAS. * Web development languages. * Cloud platforms (AWS, Azure). * Big data ecosystems (Hadoop). Required Qualifications: * 8+ years of ...

Contemporaries

Data Scientist

Durham, NC · Remote

$51 - $58/hr

We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis, and data visualization who are excited about supporting impactful public ...

Atorus Research

Sr R & SAS Programmer

Chesterbrook, PA · On-site

Strong SAS and SAS Macro language skills. R programming skills in clinical trials Strong knowledge of industry standards. Ability to work on data integrations (ISS and ISE). Strong oral and written ...

SysMind Tech

Data Engineer (Mid Level)

Charlotte, NC · On-site

$111K - $134K/yr

Experience with Snowflake ML/AI features and the R programming language. * Experience with Linux administration and system monitoring. * Experience using DAX. * Ability to travel occasionally.

Operation IT

WEB ANALYTICS SPECIALIST

Philadelphia, PA · On-site

Knowledge of R (programming language) for customized analysis and reporting as well as extensive experience with at least one standard visualization package, e.g., Google Data Studio, Tableau, Qlik ...

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Contractual R Programming Language information

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How much do contractual r programming language jobs pay per year?

As of Jun 20, 2026, the average yearly pay for contractual r programming language 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.

Is R in high demand?

R programming language is in high demand for data analysis, statistical modeling, and data visualization roles across industries such as finance, healthcare, and technology. Employers seek professionals skilled in R along with data manipulation and visualization tools like ggplot2 and dplyr, often requiring familiarity with data science workflows and statistical concepts.

What is the difference between Contractual R Programming Language vs Data Analyst?

AspectContractual R Programming LanguageData Analyst
Required skillsProficiency in R, statistical analysis, data visualizationData manipulation, statistical analysis, reporting
Work environmentProject-based, freelance or contractual rolesFull-time or part-time in organizations
Industry usageResearch, finance, healthcare, academiaBusiness, marketing, finance, healthcare

Contractual R Programming Language specialists focus on applying R for specific projects on a contractual basis, often working independently or with consulting firms. Data Analysts typically work within organizations, using R among other tools to analyze data and generate reports. While both roles require knowledge of R, Contractual R Programmers emphasize project-based work, whereas Data Analysts have broader responsibilities within a company.

What jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and statistical programmer roles. These positions often require skills in data analysis, statistical modeling, and visualization, and are common in industries such as healthcare, finance, research, and technology.

Is R still used in 2026?

R remains a widely used programming language for data analysis, statistical computing, and data visualization in 2026. Many organizations and research institutions continue to rely on R for data science roles, and it is supported by extensive packages and community resources. Proficiency in R, along with skills in data manipulation and visualization, continues to be valuable for data-related jobs.

Is the R programming language in demand?

The R programming language is in demand for data analysis, statistical modeling, and data science roles. Employers value R skills alongside knowledge of data visualization and statistical packages, making it a valuable tool for analytics-focused positions.
More about Contractual R Programming Language jobs
What cities are hiring for Contractual R Programming Language jobs? Cities with the most Contractual R Programming Language job openings:
What are the most commonly searched types of R Programming Language jobs? The most popular types of R Programming Language jobs are:
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What job categories do people searching Contractual R Programming Language jobs look for? The top searched job categories for Contractual R Programming Language jobs are:
Contractual R Programming Language jobs near you
Infographic showing various Contractual R Programming Language job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,000 per year, or $59.6 per hour.

Data Analyst

WFN Team Indus US Test Client 2

Manhattan, NY • On-site

Full-time

Posted 20 days ago

Job description

About the Role:

As a Data Analyst at our Agriculture company, your main objective will be to analyze and interpret complex data sets to provide valuable insights and recommendations. You will be responsible for collecting, cleaning, and organizing large volumes of data from various sources. By utilizing your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau, you will create visually appealing and informative reports and dashboards. Your analysis will play a crucial role in identifying trends, patterns, and opportunities for improvement in our agricultural operations.

Minimum Qualifications:

  • Bachelor's degree in a relevant field such as Data Science, Statistics, or Mathematics.
  • Proven experience in data analysis and visualization.
  • Proficiency in data cleaning techniques and working with pivot tables.
  • Strong programming skills in R and familiarity with SAS.
  • Excellent problem-solving and critical thinking abilities.

Preferred Qualifications:

  • Master's degree in Data Science or a related field.
  • Experience in the agriculture industry or a similar field.
  • Knowledge of data extraction techniques and tools.
  • Familiarity with machine learning algorithms and predictive modeling.
  • Certifications in data analysis or related areas.

Responsibilities:

  • Collect, clean, and organize large volumes of data from multiple sources.
  • Analyze and interpret complex data sets to identify trends, patterns, and insights.
  • Create visually appealing and informative reports and dashboards using data visualization tools such as Power BI and Tableau.
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven recommendations.
  • Stay up-to-date with the latest industry trends and advancements in data analysis techniques.

Skills:

In this role, your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau will be essential. You will use data cleaning techniques to ensure the accuracy and integrity of the collected data. Pivot tables will help you summarize and analyze large datasets efficiently. R programming language and SAS will be used for statistical analysis and modeling. Data visualization tools like Power BI and Tableau will enable you to create visually appealing reports and dashboards to communicate insights effectively. Your skills will be crucial in providing data-driven recommendations and identifying opportunities for improvement in our agricultural operations.