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Contractual R Programming Language Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Contemporaries

Data Engineer

Durham, NC · On-site

$57 - $63/hr

Strong experience using the R programming language. * Experience designing and maintaining database structures supporting large-scale datasets. * Experience developing reproducible data pipelines and ...

CoServe Global Solutions

NJ

Experience with R programming language and libraries desirable * Independent decision-making and working with a small focused self-directed team to accomplish goals quickly is required. * Critical ...

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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 Jul 11, 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.

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.

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Contractual R Programming Language jobs near you

Data Analyst

WFN Team Indus US Test Client 2

Manhattan, NY • On-site

Full-time

Re-posted 10 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.