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Afternoon Data Analyst R Programming Jobs in Richmond, VA

Seneca Resources Company, LLC

Data Analyst

Richmond, VA · On-site

Construct and document analytic datasets using SAS, SQL, R, or other programming tools. * Respond to data requests adhering to department standards and procedures. * Support compliance monitoring and ...

NimbusAITech LLC

Data Analyst

Richmond, VA · On-site

Basic Python or R knowledge. * Exposure to ETL or Data Warehousing concepts. * Internship or project experience in data analytics. Virginia candidates only. Interested candidates can share their ...

Capital One

Principal Data Analyst

Richmond, VA

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Capital One

Senior Data Analyst

Richmond, VA

$85K - $107K/yr

Senior Data Analyst At Capital One, data is at the center of everything we do. When we launched as ... Engineering, Mathematics, Finance, or Economics discipline * Scripting experience in (Python, R ...

Capital One

Senior Data Analyst

Richmond, VA

$85K - $107K/yr

Senior Data Analyst At Capital One, data is at the center of everything we do. When we launched as ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Key Choice Group

Data Analyst

Richmond, VA · On-site

Support engineering will be coding intensive, requiring excellent SQL skills and will also get exposure to C#. Required Skills/Certifications * 1-2 years of data analysis experience, using SQL ...

Capital One

Senior Data Analyst - Card

Richmond, VA

$85K - $107K/yr

Senior Data Analyst - Card At Capital One, data is at the center of everything we do. When we ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

SS Career page

Data Analyst

Richmond, VA · On-site

As a Data Analyst, you will play a key role in transforming data into actionable insights that help ... You'll collaborate with engineers, project and technical leaders, and business stakeholders to ...

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Afternoon Data Analyst R Programming information

See Richmond, VA salary details

$33.6K

$81.8K

$134.6K

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

As of Jul 28, 2026, the average yearly pay for afternoon data analyst r programming in Richmond, VA is $81,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 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 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, 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 the most commonly searched types of Data Analyst R Programming jobs in Richmond, VA? The most popular types of Data Analyst R Programming jobs in Richmond, VA are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Richmond, VA? For Afternoon Data Analyst R Programming jobs in Richmond, VA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Richmond, VA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Richmond, VA are:
What cities near Richmond, VA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Richmond, VA with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Richmond, VA as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $81,783 per year, or $39.3 per hour.
Data Analyst

Data Analyst

Seneca Resources Company, LLC

Richmond, VA • On-site

Full-time, Contractor

Posted 4 days ago

Job description

Position Title: Data Analyst
Location: Richmond, VA
Position Status: (Full Time or Contract to Hire)
Key Responsibilities:
  • Construct and document analytic datasets using SAS, SQL, R, or other programming tools.
  • Respond to data requests adhering to department standards and procedures.
  • Support compliance monitoring and other audit functions using intermediate and advanced programming techniques.
  • Assist senior staff in the preparation of analytic results in the form of both data and written reports, manuscripts and abstracts/posters for professional meetings.

Minimum Requirements
Experience in SAS, SQL, R or other data programming
Critical Skills
  • Strong knowledge of SAS, R, or SQL.
  • Experience working with large data sets.
  • Deep analytical and problem solving skills.
  • Ability to initiate, refine, and complete challenging projects with minimal guidance.
  • Capable of clearly communicating complex analyses to a non-technical audience.

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