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Afternoon Data Analyst R Programming Jobs (NOW HIRING)

ResolveSoft Inc

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Data Analyst

Philadelphia, PA · On-site

$65K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Washington, DC · On-site

$65K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Cytel

Senior R Statistical Programmer

Cambridge, MA · On-site +1

... data and analysis infrastructure platforms and other technical solutions to support the data flow from data collection to data submission. Using expertise in R programming and clinical trials to ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Jobtailor

Data Analyst

Washington, DC · On-site

$95 - $140/hr

Familiarity with scripting for analysis using Python or R * Ability to own an analysis from ... Familiarity with AI-assisted developer and analysis tooling Core Competencies Demonstrates ...

New

STEMboard

Data Analyst

Hurlburt Field, FL · On-site

  • PTO

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

  • PTO

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 ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Incedo

Data Analyst

Austin, TX · On-site

You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is ...

campus4tech

Data Analyst/Developer

Grand Prairie, TX · On-site

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 ...

Busek Co Inc

Data Analyst

Natick, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Busek

Data Analyst

Natick, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Busek Co Inc

Data Analyst

Natick, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

1 point system

Data Analyst

Sunnyvale, CA · On-site

... 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 ...

Apex Systems

Data Analyst

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job#: 3044413 Data Analyst Location: Remote Role Overview We are seeking a Data Analyst to perform ... programming in SAS or R. Experience working with large real-world databases and demonstrated ...

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Afternoon Data Analyst R Programming information

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$34K

$82.6K

$136K

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

As of Aug 20, 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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The top searched job categories for Afternoon Data Analyst R Programming jobs are:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

ResolveSoft Inc

Philadelphia, PA • On-site

$65K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

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Job description

Position: Data Analyst

Location: Onsite, Philadelphia, PA
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.