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Afternoon Data Analyst R Programming Jobs in Alexandria, 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 ...

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

Senior Data Analyst

Quantico, VA ยท 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 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

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 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 ...

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 ...

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 ...

Data Analyst

Bowie, MD ยท On-site

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 ...

Extensive experience in data analysis using tools such as R, SPSS, SAS, Tableau, PowerBI, and/or other similar data tools is required. * Extensive knowledge and experience in programming and ...

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Afternoon Data Analyst R Programming information

See Alexandria, VA salary details

$36.4K

$88.5K

$145.6K

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

As of Aug 8, 2026, the average yearly pay for afternoon data analyst r programming in Alexandria, VA is $88,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $103,800.00 per year, depending on experience, location, and employer.

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.

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 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 key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 the most commonly searched types of Data Analyst R Programming jobs in Alexandria, VA? The most popular types of Data Analyst R Programming jobs in Alexandria, VA are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Alexandria, VA? For Afternoon Data Analyst R Programming jobs in Alexandria, VA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Alexandria, VA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Alexandria, VA are:
What cities near Alexandria, VA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Alexandria, VA with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Alexandria, VA as of July 2026, with employment types broken down into 1% As Needed, 51% Full Time, 40% Part Time, 1% Temporary, 1% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $88,451 per year, or $42.5 per hour.

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

Apetan Consulting llc

Washington, DC โ€ข On-site

$80 - $150/hr

Contractor

Posted 22 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.