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Afternoon Data Analyst R Programming Jobs in Washington, DC

Data Intelligence

Senior Data Analyst

Quantico, VA · On-site

$92.70K - $116.90K/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 Intelligence LLC

Senior Data Analyst

Quantico, VA

$91.10K - $114.90K/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 Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91.10K - $114.90K/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

OneGlobe

Data Analyst

Washington, DC · On-site

Provide database support and coordinate with data engineers on access, quality, and lineage ... Python (pandas, NumPy, matplotlib, seaborn) and/or R. * Visualization: Tableau, Power BI, Plotly ...

OneGlobe LLC

Data Analyst

Washington, DC · On-site

Provide database support and coordinate with data engineers on access, quality, and lineage ... Python (pandas, NumPy, matplotlib, seaborn) and/or R. * Visualization: Tableau, Power BI, Plotly ...

The Logical Answer

Data Analyst

Mclean, VA · On-site

Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. · Data Visualization Tools: Hands-on ...

ONEGLOBE LLC

Data Analyst

Washington, DC · On-site

Provide database support and coordinate with data engineers on access, quality, and lineage ... Python (pandas, NumPy, matplotlib, seaborn) and/or R. * Visualization: Tableau, Power BI, Plotly ...

TLA-LLC

Data Analyst

Mclean, VA · 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 ...

TLA-LLC

Data Analyst

Mclean, VA · On-site

Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. • Data Visualization Tools: Hands-on ...

TLA Inc

Data Analyst

Mclean, VA · On-site

Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. • Data Visualization Tools: Hands-on ...

PotomacWave Consulting

Data Analyst

Washington, DC · On-site

$85K - $115K/yr

Utilize technologies including Python, R, SQL, and Tableau to analyze data and identify trends ... Apply foundational mathematical and statistical concepts, programming skills, and clear ...

PotomacWave Consulting

Data Analyst

Washington, DC · On-site

$85K - $115K/yr

Utilize technologies including Python, R, SQL, and Tableau to analyze data and identify trends ... Apply foundational mathematical and statistical concepts, programming skills, and clear ...

PotomacWave

Data Analyst

Washington, DC · On-site

Utilize technologies including Python, R, SQL, and Tableau to analyze data and identify trends ... Apply foundational mathematical and statistical concepts, programming skills, and clear ...

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Afternoon Data Analyst R Programming information

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

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Washington, DC is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the most commonly searched types of Data Analyst R Programming jobs in Washington, DC? The most popular types of Data Analyst R Programming jobs in Washington, DC are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Washington, DC? For Afternoon Data Analyst R Programming jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Washington, DC look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Washington, DC are:
Afternoon Data Analyst R Programming jobs near you
Senior Data Analyst

Senior Data Analyst

Data Intelligence

Quantico, VA • On-site

$92.70K - $116.90K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures.
Key Responsibilities

  • Develop, implement, and maintain advanced data science and analytics solutions
  • Design and execute data analysis workflows using statistical and mathematical modeling techniques
  • Build and manage ETL pipelines for ingesting, transforming, and delivering structured and unstructured data
  • Develop and integrate APIs and data services to support enterprise analytics platforms
  • Perform software integration and testing, including development and execution of test plans and scripts
  • Utilize Python, R, and other scripting languages for data analysis and automation
  • Apply data mining, graph algorithms, and statistical techniques to support mission objectives
  • Work with SQL and NoSQL databases, search indexes, and web application servers
  • Leverage tools such as Jupyter Notebook, Pandas, NumPy, Requests, and related data science libraries
  • Create data visualizations and dashboards using spreadsheets and other tools
  • Collaborate with cross-functional teams to deliver scalable and secure analytics solutions
Required Qualifications
  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field
  • Minimum 10 years of professional experience in data science or advanced analytics
  • Experience with software integration or testing, including analyzing and implementing test plans and scripts
  • Strong experience with scripting languages such as Python and R
  • Experience with data science, data mining, statistics, and graph algorithms
  • Proficiency with SQL, NoSQL, API development, ETL pipelines, web application servers, and search indexing technologies
  • Experience using tools and frameworks such as:
    • Python, Jupyter Notebook, Pandas, NumPy, Requests
  • Strong foundation in complex mathematical and statistical concepts
  • Experience applying statistical analysis and operations research methodologies
  • Proficiency in data manipulation and visualization using spreadsheets and related tools
Certifications (Preferred)
One or more relevant industry certifications, such as:
  • CompTIA Cloud Essentials, CompTIA A+, CompTIA Security+
  • Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE
  • Certificate of Cloud Security Knowledge (CCSK)
  • EMC Data Science Associate (EMCDSA)
  • Cloudera Certified Data Scientist (CCDH) / Certified Cloud Professional (CCP)
  • Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for Apache Hadoop (CCAH)
  • Certified Information Systems Security Professional (CISSP)

About Data Intelligence, LLC:
Data Intelligence, LLC (DI) is a small business that provides Information Technology System Development (Agile, DevSecOps, Cloud Platform support) Cybersecurity (RMF, Security Engineering, Cross Domain Solutions), Tactical Data Link Standards Development and Testing, and Logistics/Warehousing services to U.S. federal clients both CONUS and OCONUS. DI consistently demonstrates exceptional customer service, maintains an employee-centric culture, and delivers hands-on technical expertise to help our clients achieve their mission.
Since 2005, DI has successfully provided IT Systems Engineering, Software Development, Cybersecurity, and supporting solutions and services to customers that include the Department of Defense, Intelligence, and Federal Civilian clients. Current clients include the US Navy, Air Force, Army, Marine Corps, Coast Guard, National Geospatial-Intelligence Agency, Defense Logistics Agency, and The Department of Homeland Security. DI is headquartered in Marlton, New Jersey, with satellite offices in California, Maryland, Ohio, Pennsylvania, Virginia, and Washington, D.C.
Why you should join us:
Data Intelligence offers competitive salaries, comprehensive benefits, a team-oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran's organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.

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