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R Programming Jobs Jobs (NOW HIRING)

R Programming (2+ years) * Experience with Statistical Analysis (2+ years) * Linux and Hadoop experience - needs to have an understanding of these, no minimum requirements, but previous work ...

R Programming (2+ years) * Experience with Statistical Analysis (2+ years) * Linux and Hadoop experience - needs to have an understanding of these, no minimum requirements, but previous work ...

Python/R Developer

Washington Crossing, PA · On-site

$50 - $69/hr

Python/ R Developer Should have strong experience with Python, R. Should have experience with ingestion or transformation using Python. Should have experience in requirements gathering, solutions ...

Programming background in Python, MATLAB, or equivalent languages for data processing and system analysis. Proficiency in automating data analysis workflows and developing data pipelines for Q&R ...

Programming background in Python, MATLAB, or equivalent languages for data processing and system analysis. Proficiency in automating data analysis workflows and developing data pipelines for Q&R ...

Python/ R Developer

Washington Crossing, PA · On-site

$50 - $69/hr

Python/ R Developer Location: Titusville, NJ Position: Contract /FTEPosition Job Summary: Should have experience with Python, R. Should have experience with ingestion or transformation using Python.

Java, Linux, Apache, Perl/Python), especially the R programing. * Experience with Hadoop Security model consisting of authentication, service level authorization, authentication for Web consoles and ...

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How much do r programming jobs jobs pay per year?

As of Jul 7, 2026, the average yearly pay for r programming jobs 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 cities are hiring for R Programming Jobs jobs? Cities with the most R Programming Jobs job openings:

Data Analyst

WFN Team Indus US Test Client 2

Manhattan, NY • On-site

Full-time

Re-posted 7 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.