ZipRecruiter

Log In

1

Freelance Data Analyst R Programming Jobs (NOW HIRING)

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing ...

Centuria

IL · On-site

Build, transform, and analyze large-scale datasets using current data-centric programming languages (such as Python or R) for distributed/big-data processing. * Integrate, model, and operationalize ...

Atorus Research

Sr R & SAS Programmer

Chesterbrook, PA · On-site

Process data from the external sources. Perform ad hoc exploratory analyses for publications and ... Ensure programming deliverables are on time and of high quality. Help managing internal contractors ...

Centuria

Data Analyst

Scott Air Force Base, IL

Build, transform, and analyze large-scale datasets using current data-centric programming languages (such as Python or R) for distributed/big-data processing. * Integrate, model, and operationalize ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data ... Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field

2T Consulting

Data Analyst

Greensboro, NC

Collaborate with engineering and quality teams across global locations * Apply statistical and ... Strong proficiency in SQL, Power BI, and Python (or R) * Experience working with cloud and big data ...

Redolent, Inc

Data Analyst

Bentonville, AR · On-site

... programming and data analytics Proficient is Sql and no-sql languages, R, Python Worked on gathering data from Cassandra, Kafka, MongoDBs. Work with big data on GCP and Azure. Handled multi-million ...

next page

Showing results 1-20

All JobsData Analyst R Programming JobsFreelance Data Analyst R Programming Jobs

Freelance Data Analyst R Programming information

See salary details

$34K

$82.6K

$136K

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

As of Jul 9, 2026, the average yearly pay for freelance data analyst r programming in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a Freelance Data Analyst with R Programming expertise, and why are they important?

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 specializing in 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.
More about Freelance Data Analyst R Programming jobs
What cities are hiring for Freelance Data Analyst R Programming jobs? Cities with the most Freelance Data Analyst R Programming job openings:
What are the most commonly searched types of Data Analyst R Programming jobs? The most popular types of Data Analyst R Programming jobs are:
What states have the most Freelance Data Analyst R Programming jobs? States with the most job openings for Freelance Data Analyst R Programming jobs include:
What job categories do people searching Freelance Data Analyst R Programming jobs look for? The top searched job categories for Freelance Data Analyst R Programming jobs are:
Freelance Data Analyst R Programming jobs near you
Infographic showing various Freelance Data Analyst R Programming job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Freelance Data Scraping Engineer (Python)

Mindrift

Remote

$37/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
What We Do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
About the Role
This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
Key Responsibilities
  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Compensation
On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
How to get started
Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.
Requirements
  • At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).
  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.
  • Strong attention to detail and commitment to data accuracy.
  • Self-directed work ethic with ability to troubleshoot independently.
  • A link to GitHub is a plus.
  • English proficiency: Upper-intermediate (B2) or above (required).

Benefits
Why this freelance opportunity might be a great fit for you?
  • Work fully remote on your own schedule with just a laptop and stable internet connection.
  • Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly - a distinctive skill set in a rapidly growing field.
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

Apply