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Data Analyst R Programmer Jobs (NOW HIRING)

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Data Analyst

Washington, DC · 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 ...

Collaborate with business stakeholders, data engineers, and technical teams to understand ... analytics. * Experience with Scikit-learn or other Python ML libraries. * Experience with R Shiny

... programming language (SQL, PLSQL, R, Python, etc) * 2+ years' experience in data analytics on any ... data warehouse (Oracle, SQL, Snowflake) * Healthcare experience a plus * Agile/SAFe experience a ...

Senior Data Analyst

Quantico, VA · On-site

$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

Senior Data Analyst

Quantico, VA · On-site

$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

Data analysts will work with government customers across the globe to determine their current ... Work with engineering teams to design algorithms and data manipulation capabilities using R, Python ...

Data analysts will work with government customers across the globe to determine their current ... Work with engineering teams to design algorithms and data manipulation capabilities using R, Python ...

Data Analyst

OR · On-site +1

$21 - $26/hr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI, or similar). * Strong analytical and ...

Title: Data Analyst/Developer Location: Grand Prairie, TX Job Mode: This role is on-site 5 days ... Strong SQL querying experience; exposure to R or Python is a plus. * 1+ year of front-end ...

Collect, process, and analyse data to identify trends and patterns. * Create visualisations and ... Familiarity with programming languages such as Python or R. * Understanding of statistical methods ...

This role will work closely with Research and Development, Engineering, Test Operations, and ... using python, MATLAB, R, Julia, SQL, or other data analysis tools. • Ability to work ...

This role will work closely with Research and Development, Engineering, Test Operations, and ... using python, MATLAB, R, Julia, SQL, or other data analysis tools. • Ability to work ...

This role will work closely with Research and Development, Engineering, Test Operations, and ... Experience analyzing large datasets using python, MATLAB, R, Julia, SQL, or other data analysis ...

... engineering roadmaps. * Advanced proficiency in SQL, with experience working on cloud data platforms (e.g., BigQuery, Redshift, Snowflake). * Strong experience with Python or R for data analysis ...

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

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Data Analyst R Programmer information

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How much do data analyst r programmer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data analyst r programmer in the United States is $46.48, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $56.49 per hour, depending on experience, location, and employer.

What is a data analyst R programmer?

Data Analyst R Programmers are professionals who use the R programming language to collect, process, and analyze data for organizations. They specialize in cleaning datasets, performing statistical analyses, creating data visualizations, and generating actionable insights to help guide business decisions. Their expertise in R allows them to automate data workflows, build predictive models, and effectively communicate findings to stakeholders. Data Analyst R Programmers often work in industries such as finance, healthcare, marketing, and technology, where data-driven decision-making is essential.

How does a data analyst R programmer typically collaborate with other teams, such as business or IT departments?

Data Analyst R Programmers often serve as a bridge between technical and non-technical teams by translating complex data findings into actionable insights. They work closely with business stakeholders to understand data requirements and with IT teams to ensure data integrity and accessibility. Collaboration usually involves regular meetings, sharing reports, and sometimes creating dashboards or visualizations tailored to different audiences. This cross-functional teamwork helps drive data-driven decision making across the organization.

What are the key skills and qualifications needed to thrive as a data analyst R programmer, and why are they important?

To thrive as a Data Analyst R Programmer, you need strong analytical skills, a solid understanding of statistical methods, and proficiency in R programming, often supported by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (like ggplot2), data management systems, and platforms such as SQL or Excel is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and sharing insights. These capabilities are vital for transforming complex data into actionable business intelligence and supporting data-driven decision-making.

Are data analyst R programmers in demand?

Data analyst R programmers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in R programming, data visualization, and statistical analysis are highly valued, with job opportunities growing in sectors such as finance, healthcare, and technology.

Do data analysts use R programming?

Data analysts often use R programming as it is a popular tool for data manipulation, statistical analysis, and visualization. Proficiency in R can enhance a data analyst's ability to handle complex datasets and perform advanced analytics efficiently.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting results, making strategic decisions, and providing context. The role of a data analyst involves critical thinking, domain knowledge, and communication skills that are difficult for AI to fully replicate. Therefore, while AI may change some aspects of the job, it is unlikely to replace data analysts entirely.

What cities are hiring for Data Analyst R Programmer jobs?

Cities with the most Data Analyst R Programmer job openings:

What states have the most Data Analyst R Programmer jobs?

States with the most job openings for Data Analyst R Programmer jobs include:

What are popular job titles related to Data Analyst R Programmer jobs?

For Data Analyst R Programmer jobs, the most frequently searched job titles are:

Infographic showing various Data Analyst R Programmer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $96,677 per year, or $46.5 per hour.

Data Analyst

Washington, DC • On-site

$65K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

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Job description

Position: Data Analyst

Location: Onsite, Washington DC
Position Summary

The Data Analyst supports the Client’s Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that informs grants management, program oversight, monitoring, and decision-making for the Client. This role conducts both quantitative and qualitative analyses, develops repeatable and sustainable analytical products, and supports leadership and program staff through timely, accurate, and well-documented data outputs.

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and compliant with federal data standards.

Primary Responsibilities

  • Collect, compile, clean, and analyze data from multiple sources to support Head Start grants management, monitoring, and oversight activities.
  • Conduct quantitative analyses using structured datasets and qualitative analyses of narrative documents, forms, applications, and reports.
  • Identify trends, patterns, anomalies, and areas of risk or improvement related to program performance and operations.
  • Prepare high-quality analytical reports, summaries, and data tables to support Regional Office, Central Office, and leadership needs.
  • Support recurring and ad hoc reporting, including management information reports, trend analyses, and leadership briefings.
  • Track, prioritize, and respond to data requests in coordination with project leadership and Client staff.
  • Assist with rapid-turn analyses and short-notice leadership requests.
  • Support implementation of repeatable, sustainable data practices for ongoing and recurring analyses.
  • Work collaboratively with data engineering, visualization, and program teams to align analyses with operational needs.
  • Support data-informed evaluation of workflows and business processes and contribute to improvement recommendations.

Required Qualifications

  • Bachelor’s degree in statistics, mathematics, economics, data science, or a related field.
  • 3+ years of post-baccalaureate professional experience performing data analysis or related work.
  • 1+ years of experience analyzing quantitative data & synthesizing findings into clear written products.
  • 1+ years of experience with Excel, Python, R, and preferably Smartsheet,
  • 1+ years of experience with SQL, GIS, Data Visualizations, Survey Methodology or Implementation
  • 1+ years of experience with application of AI Tools: GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS
  • 1+ years of experience supporting federal programs or grants management environments; early childhood or Head Start/Early Head Start is preferred.
  • US government-issued security clearance required (will be initiated upon hire)
  • Valid driver’s license and ability to pass an MVR check.

Preferred Qualifications

  • Demonstrated ability to work with multiple data sources and manage competing priorities.
  • Strong analytical and critical thinking skills.
  • Experience using analytical tools such as Excel and scripting or statistical languages (e.g., Python, R).
  • Ability to communicate analytical findings clearly to both technical and non-technical audiences.
  • Strong organizational skills and attention to detail.
  • Ability to work independently and collaboratively in a team-based environment.
  • Experience supporting federal programs or grants management environments.
  • Familiarity with qualitative data analysis and review of narrative program documentation.
  • Experience working with data layers, dashboards, or visualization tools (e.g., Tableau, Power BI).
  • Knowledge of early childhood or Head Start programs.

Company Description

Our mission is to empower our clients to achieve sustainable success through efficient, cost-effective, and scalable solutions that drive significant performance improvements. We believe in delivering value-driven results and fostering a culture that attracts and retains top talent to provide scalable, adaptable services.