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Afternoon Data Analyst R Programming Jobs (NOW HIRING)

Changeis

Data Analyst

Utilize tools like R, SQL, and either Tableau or PowerBI to create data-driven solutions. * Apply ... Bachelor's or Master's degree in Engineering, Mathematics, Statistics, Computer Science ...

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

... 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 ...

Pick Your Part

Data Reporting Analyst

Brentwood, TN · On-site

The Data Analyst is responsible for providing data analysis and business intelligence solutions ... Python or R programming experience. * Experience supporting multi-site operations or field-based ...

ResolveSoft Inc

Data Analyst

Kansas City, MO · 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 ...

ResolveSoft Inc

Be Seen First

Data Analyst

Atlanta, GA · 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 ...

Pick Your Part

Data Reporting Analyst

Brentwood, TN · On-site

Job Type Full-time Description The Data Analyst is responsible for providing data analysis and ... Python or R programming experience. * Experience supporting multi-site operations or field-based ...

ResolveSoft Inc

Data Analyst

Philadelphia, PA · 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 ...

ResolveSoft Inc

Data Analyst

Denver, CO · 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 ...

ResolveSoft Inc

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 ...

Data Intelligence LLC

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

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$92K - $116K/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 Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

... 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 ...

Skillify Solutions

Python/R Analyst

Richmond, TX · On-site

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

Data Intelligence LLC

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

Collabera

Lead Datawarehouse /Big Data

Torrance, CA · On-site

Java, Linux, Apache, Perl/Python), especially the R programing. * Experience with Hadoop Security ... Predictive analytics experience is a PLUS Requirements: * Past work experience on h/w, s/w configs ...

STEMboard

Data Analyst

Hurlburt Field, FL

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 ...

STEMboard

Data Analyst

Hurlburt Field, FL · On-site

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 ...

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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 Sep 10, 2026, the average yearly pay for afternoon data analyst r programming in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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 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 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.

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Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

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

Washington, DC • On-site

Apetan Consulting llc
IT Services • 1 - 10 employees
Learn more about Apetan Consulting llcexternal

$80 - $150/hr

Contractor

Re-posted 25 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.