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Freelance Data Analyst R Programming Jobs in New York, NY

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians ...

New

Data Analyst

New York, NY ยท On-site

$130K - $170K/yr

You'll join a team of experienced data scientists and analytics engineers, while partnering closely ... Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to ...

Data Analyst

Clark, NJ ยท On-site

Will be in the R&I group (Research and Innovation) *Primary functions: data architecture, data ... Comprehension of DevOps and Agile development and application to data centric architecture and ...

Youll work closely with leadership from Product and Engineering, Customer Success and Support, and ... Strong background in SQL, some knowledge of Python or R a plus * Experienced creating dashboards ...

Showing results 21-40

Freelance Data Analyst R Programming information

See New York, NY salary details

$37.2K

$90.4K

$148.8K

How much do freelance data analyst r programming jobs pay per year?

As of Aug 11, 2026, the average yearly pay for freelance data analyst r programming in New York, NY is $90,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,100.00 per year, depending on experience, location, and employer.

Is it possible to freelance as a data analyst?

Freelance data analysts, including those skilled in R programming, can work independently by offering services such as data cleaning, analysis, and visualization to clients. Success depends on building a strong portfolio, having proficiency in tools like R and SQL, and establishing reliable communication and project management skills.

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

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field for its extensive package ecosystem and open-source nature, making it a valuable skill for data analysts to have. Proficiency in R can enhance a data analyst's ability to interpret data and generate insights efficiently.

Are R programmers in demand?

R programmers, including freelance data analysts skilled in R programming, are in high demand due to the growing need for data analysis, statistical modeling, and data visualization across industries. Proficiency in R, along with skills in data manipulation and reporting, increases job opportunities in analytics and research roles.

What are the key skills and qualifications needed to thrive as a freelance data analyst with R programming?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What does a freelance data analyst with R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.
What are the most commonly searched types of Data Analyst R Programming jobs in New York, NY? The most popular types of Data Analyst R Programming jobs in New York, NY are:
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What job categories do people searching Freelance Data Analyst R Programming jobs in New York, NY look for? The top searched job categories for Freelance Data Analyst R Programming jobs in New York, NY are:
What cities near New York, NY are hiring for Freelance Data Analyst R Programming jobs? Cities near New York, NY with the most Freelance Data Analyst R Programming job openings:

Senior Statistical Analyst

2T Consulting

Woodside, NY โ€ข On-site

Full-time

Posted 3 days ago

New


Job description

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians and cross-functional teams to develop ADaM datasets, generate TLFs, support regulatory submissions, and ensure high-quality statistical programming deliverables for clinical studies.

Primary Responsibilities

*Collaborate with statisticians to develop and implement Statistical Programming Plans (SPPs) and Statistical Analysis Plans (SAPs).
*Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R.
*Generate and validate Tables, Listings, and Figures (TLFs) for clinical study reports, safety reports, and regulatory submissions.
*Create and maintain programming documentation, including specifications, annotated code, validation plans, and programming guidelines.
*Perform quality control and validation of statistical programming outputs to ensure compliance with CDISC standards and regulatory requirements.
*Support ad hoc statistical analyses, exploratory data analyses, and data visualization requests.
*Develop and maintain reusable programming macros, utilities, and automation tools to improve efficiency and consistency.
*Provide programming support during regulatory submissions, audits, and inspections.
*Collaborate with study teams to resolve programming and data-related issues while ensuring timely project delivery.
*Identify project risks, escalate issues when necessary, and provide regular status updates.
*Mentor and train junior programmers and contribute to continuous process improvement initiatives.
*Stay current with industry best practices, regulatory guidelines, and advancements in statistical programming.

Required Skills & Qualifications

*Strong proficiency in SAS and R programming for clinical trial data analysis.
*Experience programming and validating ADaM datasets, TLFs, and statistical analyses.
*Advanced knowledge of CDISC standards, including ADaM and SDTM.
*Solid understanding of clinical trial processes, statistical methodologies, and regulatory requirements.
*Experience in therapeutic areas such as Oncology, Immunology, Neuroscience, or other clinical domains.
*Strong analytical, troubleshooting, and problem-solving skills.
*Excellent attention to detail with a strong focus on quality and compliance.
*Effective written and verbal communication skills.
*Ability to collaborate with statisticians, clinical study teams, and external stakeholders.
*Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

Preferred Qualifications

*Experience supporting global clinical trials and regulatory submissions.
*Knowledge of clinical data visualization and exploratory data analysis.
*Experience developing standardized SAS macros and programming utilities.
*Prior experience mentoring or leading statistical programming teams.
*Familiarity with FDA, EMA, and ICH regulatory guidelines for clinical data submissions.