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Freelance Data Analyst R Programming Jobs in Washington

Transform, manipulate, combine, and analyze data using programming languages such as Python or R. * Develop dashboards, reports, and interactive data visualizations using Tableau. * Create ...

Lead data warehousing efforts and performing data analysis as needed across sets of transactional ... Basic experience in programming (R, Python, Java, Javascript, etc.) Experience working with ...

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and ... analytics; preference for research, quantitative analysis, data manipulation, and data ...

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and ... analytics; preference for research, quantitative analysis, data manipulation, and data ...

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and ... analytics; preference for research, quantitative analysis, data manipulation, and data ...

Data Analyst

Washington, DC · 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 ...

ANOVA) using statistical software applications such as R and SPSS * Work with Senior Database ... Data analysis, involved in both primary and secondary research using data to arrive at decision ...

Master's degree in Computer Science, Mathematics, Public Health, Statistics, Engineering, or a related field. * Proficiency in data cleaning, transformation, and analysis using Python (Pandas), R ...

Data Analyst

Springfield, VA · 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 ...

Analytica is seeking a Data Analyst to support the Defense Health Agency (DHA). This role will ... Experience with at least one of the following programming languages: * SAS * SQL * R * Python

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Required Skills and ExperienceAssociate degree in Data Analytics, Engineering, Information Systems, or related field.4 years of relevant experience, or 3 years with a Bachelor's degree.CAP Essentials ...

Data Analyst

Arlington, VA · On-site

$62 - $141/hr

... R and Microsoft Office Suite. Establish quantitative and qualitative metrics and key performance ... including engineers, data analysts, and developers Possession of strong analytical, critical ...

Statistician/Data Analyst

Washington, DC · On-site

$107K - $138K/yr

Data Science and Data Engineering Job Qualifications: Skills: Analytics, Data Analytics, Data ... Python and/or R. * Tableau. * Palantir. * Data entry. Additional Requirements: * This position ...

Analytica is seeking a Data Analyst to support the Defense Health Agency (DHA). This role will ... Experience with at least one of the following programming languages: * SAS * SQL * R * Python

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Associate degree in Data Analytics, Engineering, Information Systems, or related field. * 4 years of relevant experience, or 3 years with a Bachelor's degree. * CAP Essentials certification preferred.

Data Analyst

Bethesda, MD · On-site

$85 - $120/hr

Analytica is seeking a Data Analyst to support the Defense Health Agency (DHA). This role will ... Experience with at least one of the following programming languages: * SAS * SQL * R * Python

Collaborate with other data workstreams (Data Engineers, Data Architects, Data Scientists, Product ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

Showing results 21-40

Freelance Data Analyst R Programming information

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 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 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 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 most commonly searched types of Data Analyst R Programming jobs in Washington?

The most popular types of Data Analyst R Programming jobs in Washington are:

What are popular job titles related to Freelance Data Analyst R Programming jobs in Washington?

For Freelance Data Analyst R Programming jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Freelance Data Analyst R Programming jobs in Washington look for?

The top searched job categories for Freelance Data Analyst R Programming jobs in Washington are:

What cities in Washington are hiring for Freelance Data Analyst R Programming jobs?

Cities in Washington with the most Freelance Data Analyst R Programming job openings:

Infographic showing various Freelance Data Analyst R Programming job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Analyst

VTG

Chantilly, VA • On-site

Full-time

Posted 6 days ago


Job description

Overview

We are seeking an experienced Data Analyst / Business Analytics Specialist to support data-driven decision-making within a mission-focused environment. The ideal candidate will have hands-on experience analyzing complex datasets, developing data visualizations, identifying trends and relationships, and translating customer requirements into actionable analytical products and system specifications.


What will you do?
  • Apply qualitative and quantitative data analysis methodologies to complex business and mission-related problems.
  • Use critical thinking, analytical judgment, and programmatic, quantitative, and qualitative methods to identify patterns, relationships, and trends across disparate datasets.
  • Perform mathematical, statistical, and other data-driven analyses to answer business questions and support organizational decision-making.
  • Obtain structured and unstructured data from multiple sources, synthesize the information, and present findings clearly and concisely through written and graphical products.
  • Transform, manipulate, combine, and analyze data using programming languages such as Python or R.
  • Develop dashboards, reports, and interactive data visualizations using Tableau.
  • Create visualization mockups and prototypes and demonstrate analytical products to both technical and non-technical audiences.
  • Use data preparation tools such as Tableau Prep Builder to clean, organize, and prepare data for analysis and visualization.
  • Interpret data models and work with a variety of data sources, database structures, and data formats.
  • Use SQL and Excel to query, manipulate, analyze, and validate data.
  • Translate customer requirements and business needs into project or system specifications.
  • Interact directly with customers and stakeholders to coordinate requirements, clarify objectives, and resolve data-related questions.
  • Document analytical methodologies, workflows, processes, and technical procedures.
  • Provide analytical judgment and trend analysis based on research, historical data, and comparisons with previous analytical products.

Do you have what it takes?
  • Active TS/SCI with Polygraph
  • BS degree and 11-15 years of prior relevant experience
  • Demonstrated experience in at least two of the following disciplines:
    • Business Analytics
    • Statistics
    • Data Verification and Validation
    • Data Visualization
  • Demonstrated experience applying qualitative and quantitative data analysis methods to business analytics problems.
  • Experience developing data visualization mockups, prototypes, dashboards, or other graphical analytical products.
  • Experience documenting workflows and work processes.
  • Ability to effectively demonstrate and communicate analytical products to both technical and non-technical audiences.
  • Experience interpreting data models and working with multiple data sources and data structures.
  • Experience translating customer requirements into project or system specifications.
  • Strong interpersonal, written, and verbal communication skills.
  • Self-starter capable of decomposing ambiguous problems into actionable tasks and plans.
  • Hands-on experience with Tableau.
  • Experience transforming, manipulating, and combining data using Python or another programming language.
  • Experience with a data preparation tool such as Tableau Prep Builder.
  • Experience using SQL and Microsoft Excel.
Qualifications:
  • Active TS/SCI with Polygraph
  • BS degree and 11-15 years of prior relevant experience
  • Demonstrated experience in at least two of the following disciplines:
    • Business Analytics
    • Statistics
    • Data Verification and Validation
    • Data Visualization
  • Demonstrated experience applying qualitative and quantitative data analysis methods to business analytics problems.
  • Experience developing data visualization mockups, prototypes, dashboards, or other graphical analytical products.
  • Experience documenting workflows and work processes.
  • Ability to effectively demonstrate and communicate analytical products to both technical and non-technical audiences.
  • Experience interpreting data models and working with multiple data sources and data structures.
  • Experience translating customer requirements into project or system specifications.
  • Strong interpersonal, written, and verbal communication skills.
  • Self-starter capable of decomposing ambiguous problems into actionable tasks and plans.
  • Hands-on experience with Tableau.
  • Experience transforming, manipulating, and combining data using Python or another programming language.
  • Experience with a data preparation tool such as Tableau Prep Builder.
  • Experience using SQL and Microsoft Excel.
Education:UNAVAILABLEEmployment Type: FULL_TIME