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Freelance R Programming Language Jobs in New York

Integrated Resources INC

Data Scientist

Newark, NJ · On-site

Experience with tools such as R Programming, visualizations, SAS, Open Source etc. Experience and in-depth knowledge of the SAS Enterprise Miner, Python programming language or similar Knowledge of ...

Mastech Digital

Data Scientist Specialist

New York, NY · Remote

$75 - $80/hr

... R programming experience to create graphical representations or simulations of data as well as ... SQL language is used for. - Ability to communicate effectively to all levels of engagement ...

Jobsbridge

Big Data Solutions Engineer

Bridgewater, NJ · On-site

$57 - $75.50/hr

Programming language -- Java (must), Python, Scala, Ruby * Batch processing -- Hadoop MapReduce ... R Java Hadoop/MapReduce Flume Storm Kafka MemSQL Pig Hive Tableau Integration ETL Qualifications ...

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Freelance R Programming Language information

Are R programmers in demand?

R programmers are in demand in fields such as data analysis, statistics, and research, especially in industries like healthcare, finance, and academia. Their skills in data visualization, statistical modeling, and familiarity with tools like RStudio make them valuable for data-driven decision-making and analytics projects.

What are some common challenges freelance R programmers face when working with clients remotely?

Freelance R programmers often encounter challenges related to communication and project scope when collaborating remotely with clients. Since requirements can change or lack clarity, it's important to establish clear expectations and maintain regular updates through meetings or written summaries. Additionally, managing data privacy and access can be tricky, so freelancers should be prepared to use secure data-sharing tools and clarify ownership of scripts and results. Building strong communication skills and being proactive about project management can help overcome these hurdles and ensure successful client collaborations.

What jobs use R coding?

Jobs that use R coding include data analyst, data scientist, statistical programmer, and research analyst roles. These positions often require skills in data visualization, statistical modeling, and data manipulation, and are common in industries like healthcare, finance, and academia.

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 a large community and extensive packages, making it relevant for freelance R programming jobs.

What are the key skills and qualifications needed to thrive as a Freelance R Programmer, and why are they important?

To thrive as a Freelance R Programmer, you need strong statistical analysis, data manipulation, and coding skills in R, often supported by a degree in statistics, computer science, or a related field. Familiarity with RStudio, version control systems like Git, and relevant libraries such as tidyverse and Shiny is typically required. Excellent problem-solving, client communication, and time management skills help you stand out in this role. These abilities ensure you can deliver accurate, timely data solutions that meet client needs in a competitive freelance environment.

What is a freelance R programmer?

A freelance R programmer is a professional who works independently, providing services related to the R programming language on a contract or per-project basis. They typically help organizations or individuals analyze data, build statistical models, visualize results, and develop custom R scripts or packages. Freelance R programmers often work remotely and may serve clients across various industries, including finance, healthcare, academia, and technology. Their flexible arrangements allow them to take on diverse projects, from data cleaning to advanced machine learning tasks.

Can you make 10k a month freelancing?

Freelance R programming can potentially generate $10,000 or more per month, especially with high-demand skills, a strong portfolio, and consistent client work. Earnings depend on experience, project complexity, and the ability to secure multiple clients or long-term contracts, often requiring advanced knowledge of data analysis, statistical modeling, and tools like RStudio.

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

AspectFreelance R Programming LanguageData Analyst
Required skillsProficiency in R, statistical analysis, data visualizationData manipulation, statistical analysis, reporting
Work environmentIndependent, project-based, remote or on-siteTypically in organizations, team-based, office or remote
CertificationsR certifications, data analysis coursesData analysis, business intelligence certifications
Industry usageFreelance projects across various industriesCorporate, finance, healthcare, marketing

Freelance R Programming Language professionals focus on independent projects requiring R skills, while Data Analysts work within organizations analyzing data to inform business decisions. Both roles require statistical knowledge, but their work settings and project types differ.

What are the most commonly searched types of R Programming Language jobs in New York? The most popular types of R Programming Language jobs in New York are:
What are popular job titles related to Freelance R Programming Language jobs in New York? For Freelance R Programming Language jobs in New York, the most frequently searched job titles are:
What job categories do people searching Freelance R Programming Language jobs in New York look for? The top searched job categories for Freelance R Programming Language jobs in New York are:
What cities in New York are hiring for Freelance R Programming Language jobs? Cities in New York with the most Freelance R Programming Language job openings:
Freelance R Programming Language jobs near you

Data Analyst

WFN Team Indus US Test Client 2

Manhattan, NY • On-site

Full-time

Re-posted 9 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.