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Freelance Data Analyst R Programming Jobs in Ashburn, VA

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Data Analyst

Washington, DC ยท On-site

$65K - $85K/yr

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

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Data Analyst

Springfield, VA ยท On-site

$110K - $150K/yr

Data analysis competency with mathematical programming languages (i.e., MATLAB, Python, R, etc.) or equivalent with the ability to produce charts and tables. * Ability to exercise independent ...

Data Analyst

Springfield, VA ยท On-site

$110K - $150K/yr

Data analysis competency with mathematical programming languages (i.e., MATLAB, Python, R, etc.) or equivalent with the ability to produce charts and tables. * Ability to exercise independent ...

Data Analyst

Mclean, VA ยท On-site

Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. Data ...

Data Analyst

Springfield, VA ยท Hybrid

$75K - $95K/yr

Bachelor's degree in Business, Engineering, Science, or Mathematics with 24 semester credit hours ... Experience using R, Tableau, or Power BI * Experience using ACEIT * Active DHS suitability or DoD ...

Data Analyst

Springfield, VA ยท On-site

$75K - $95K/yr

Bachelor's degree in Business, Engineering, Science, or Mathematics with 24 semester credit hours ... Experience using R, Tableau, or Power BI * Experience using ACEIT * Active DHS suitability or DoD ...

Data Analyst

Springfield, VA ยท On-site

$75K - $95K/yr

Bachelor's degree in Business, Engineering, Science, or Mathematics with 24 semester credit hours ... Experience using R, Tableau, or Power BI * Experience using ACEIT * Active DHS suitability or DoD ...

Data Analyst

Washington, DC ยท On-site

$71 - $79/hr

The Data Analyst shall have knowledge and expertise with R and Tableau. The role will involve working closely across education and workforce agency teams. The ETEP Data Analyst should possess ...

Implementation Engineers are responsible for leveraging quantitative skills to configure Air ... Intermediate familiarity/skills with SQL, Python, and R * 2-6 years of relevant experience ...

Implementation Engineers are responsible for leveraging quantitative skills to configure Air ... Intermediate familiarity/skills with SQL, Python, and R * 2-6 years of relevant experience ...

Implementation Engineers are responsible for leveraging quantitative skills to configure Air ... Intermediate familiarity/skills with SQL, Python, and R * 2-6 years of relevant experience ...

It's an analytical role embedded in the R&D team at an ARPA-E-backed climate-materials company: you ... A BS in a quantitative or scientific field -- statistics, data science, engineering, physics ...

Possess knowledge and experience with data analysis and data technical expertise in data management, engineering, and science * Proven proficiency in Python, R, and SQL * Hands-on experience with ...

Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for research community ...

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Utilize Python, R, and various database management tools (SQL, MySQL, PostgreSQL, Oracle, or MS SQL ... programming, dashboard and report creation, and visualization.Proficiency with Microsoft 365 ...

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Freelance Data Analyst R Programming information

See Ashburn, VA salary details

$34.8K

$84.5K

$139.1K

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

As of Aug 7, 2026, the average yearly pay for freelance data analyst r programming in Ashburn, VA is $84,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $99,200.00 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 Ashburn, VA? The most popular types of Data Analyst R Programming jobs in Ashburn, VA are:
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What job categories do people searching Freelance Data Analyst R Programming jobs in Ashburn, VA look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Ashburn, VA are:

Senior Applications Developer with R programming(Modernization)/Washington, D.C

Apetan Consulting llc

Washington, DC โ€ข On-site

$80 - $150/hr

Contractor

Posted 20 days ago


Job description

Client Note: -  Can accept candidates without FAME experience if they have worked with a different time-series data ecosystem. However, R programming experience is a must-have. DuckDB is required as well but if a candidate has worked with SQLite for analytics he would be willing to consider that.
Senior Applications Developer with R programming(Modernization)
Location: Washington, D.C.( Relocation will work 2-3 hour distance)
US Citizenship: Required
The Industrial Output section within the Federal Reserve Board’s Division of Research and Statistics seeks a Senior Developer to lead a critical technical modernization of the monthly G.17 statistical release (Industrial Production and Capacity Utilization).
You will help transition our core data infrastructure from legacy FAME database software to a modern stack (Python, R, SQL, and DuckDB) while ensuring seamless monthly production.
Interview: Final round will be in-person
Key Responsibilities
Modernize Infrastructure: Transition legacy database storage and code to robust, modern pipelines.
Bridge Tech Eras: Master FAME coding to safely reverse-engineer and refactor code into Python and R.
Collaborate: Partner with economists, data engineers, and IT on file transfers and validation.


Requirements
Experience: 7+ years in software development (SDLC).
Tech Stack: Strong Python, R; familiarity with SQL-based systems or DuckDB. FAME is a major plus.
Mindset: Open to emerging tech (including AI coding assistants) balanced with an unwavering commitment to data accuracy and tight monthly deadlines.
Education: Bachelor’s in CS, Economics, Physics, or a related quantitative field.