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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 ...

CYNET SYSTEMS

Clinical Data Manager

Sunnyvale, CA · On-site

$70 - $75/hr

Excellent hands on experience on SAS or R programming language for data review listings/tracker. * Experience with development of data management trackers and dashboards (Discrepancy listings, Clean ...

CoServe Global Solutions

NJ · On-site

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 ...

Hp

Worldwide Workstation Business Planner

Spring, TX · On-site

$130K - $205K/yr

... R (Programming Language) SQL (Programming Language) Statistics Tableau (Business Intelligence Software) Thought Leadership Cross-Org Skills Effective Communication Results Orientation Learning ...

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

As of Jun 19, 2026, the average hourly pay for freelance r programming language in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

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 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.

Is R in high demand?

R programming language skills are in high demand in data analysis, statistics, and data science roles across various industries. Employers seek professionals proficient in R for tasks involving data visualization, statistical modeling, and machine learning, often requiring knowledge of related tools like RStudio and packages such as ggplot2 and dplyr.

Which coding language is best for freelancing?

For freelance R programming language roles, R is the primary language used for data analysis, statistical computing, and visualization tasks. Freelancers often combine R with tools like RStudio and may need knowledge of data manipulation, scripting, and reporting. The best language depends on the specific project requirements, but R is essential for data-focused freelancing in this field.

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 jobs can you get with R programming?

With R programming skills, you can pursue roles such as data analyst, data scientist, statistical programmer, or research analyst. These jobs typically involve data analysis, statistical modeling, and visualization, often requiring knowledge of data manipulation packages like dplyr and ggplot2, and may require familiarity with data management tools and statistical concepts.
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What cities are hiring for Freelance R Programming Language jobs? Cities with the most Freelance R Programming Language job openings:
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Freelance R Programming Language jobs near you
Infographic showing various Freelance R Programming Language job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, 12% Part Time, 1% Temporary, 8% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.
Senior Reliability Engineer - Data Analytics

Senior Reliability Engineer - Data Analytics

Collabera

Urbandale, IA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Company Description

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. 

Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance.

Job Description

Work with cross functional teams to develop actionable high impact data analytic solutions. 

Assess and build upon existing tool architecture and implementations to support developing best in class "big data" approaches.


Qualifications

Candidates need five+ years of experience. 

Also, manager is not interested in candidates with primarily consultant experience/backgrounds. 

Desires candidates with hands on experience. 

Experience with writing scripts in SQL(Standard Query Language) 

Experience with multiple programming languages and analytic tools such as SAS, R Programming Language, and/or Tableau 

Experience with statistical analysis and /or data analytics methods Good communication skills. Minimum of 4 years education in Bachelor of Engineering such as Reliability, Mechanical, Electrical, Industrial, or equal amount of experience. 

Analytical / problem Solving Skills In Any Of The Following Areas:

Field Reliability Data Analysis

Design for Reliability (DFR)

Root Cause Analysis (RCA)

Failure Mode and Effects Analysis (FMEA)

Design of Experiments (DOE)

Degradation Data Analysis

Statistical Data Analysis. 

Experience with Telematics Data (Diagnostic Trouble Codes, Machine/Engine Operating Conditions data). 

Develop specific analysis reports and solutions for identifying patterns or trends related to reliability performance using Telematics data. 


Additional Information

To know more about the position or to schedule an interview, please contact:
Jeff Demaala

973-606-3249


Apply