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Intern R Programming Language Jobs in Bayonne, NJ

WallStreetQuants

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders ... Strong programming skills in Python, C++, Java, C#, Rust, or another modern programming language.

WallStreetQuants

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders ... Strong programming skills in Python, C++, Java, C#, Rust, or another modern programming language.

Theirc

Youth Programming Intern (Unpaid)

Elizabeth, NJ · On-site

$15 - $20.25/hr

The RefugeeYouth Program provides year-round programming working directly with refugee youth ... Fluency in a second language required (i.e., Spanish, Haitian Creole, Arabic, Dari) * Currently ...

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All JobsIntern R Programming Language JobsIntern R Programming Language Jobs in Bayonne, NJ

Intern R Programming Language information

See Bayonne, NJ salary details

$8

$17

$24

How much do intern r programming language jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for intern r programming language in Bayonne, NJ is $17.22, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.42 per hour, depending on experience, location, and employer.

Is 22 too old for an internship?

Intern R Programming Language internships are open to candidates of various ages, including those who are 22. Age is generally not a barrier, and employers often value skills, relevant coursework, and enthusiasm over age. Many internships welcome early-career professionals or those seeking to gain experience in data analysis and programming tools like R.

Is R still used in 2026?

R remains a widely used programming language for data analysis, statistical computing, and data visualization in 2026. Data analysts and statisticians, including those applying for R programming internships, continue to rely on R alongside tools like Python, especially in academia and research environments.

What jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and familiarity with data management tools. R is widely used in industries such as healthcare, finance, academia, and market research for data analysis and reporting.

Is R programming still in demand?

R programming remains in demand for data analysis, statistical modeling, and research roles, especially in industries like healthcare, finance, and academia. Professionals skilled in R, along with data visualization and statistical techniques, are valued as organizations increasingly rely on data-driven decision-making.

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

AspectIntern R Programming LanguageData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationData analysis, Excel, SQL, basic R knowledge
Work EnvironmentResearch labs, data science teams, tech companiesBusiness departments, marketing, finance teams
Industry UsageData science, research, analytics projectsBusiness intelligence, reporting, data interpretation

Intern R Programming Language roles focus on developing skills in R for data analysis and visualization, often within research or data science teams. Data Analyst Intern positions involve applying analytical skills to interpret data for business insights, sometimes using R but often emphasizing Excel and SQL. Both roles require analytical thinking but differ in technical depth and industry focus.

What job categories do people searching Intern R Programming Language jobs in Bayonne, NJ look for? The top searched job categories for Intern R Programming Language jobs in Bayonne, NJ are:
Intern R Programming Language jobs near you

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.