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

Capital One

Principal Data Analyst

Richmond, VA · On-site

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 ...

Engineering Square

Data Analyst

Richmond, VA · On-site

This team has 2 developers /2 analysts and 3rd role will be reporting to the HM, partner with the partnership team, daily stands up . 1. Data Ingestion & Missing File Reconciliation Monitor automated ...

Capital One

Principal Data Analyst - Card

Richmond, VA · Hybrid

Principal 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 ...

Capital One

Principal Data Analyst - Card

Richmond, VA · On-site

Principal 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 ...

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

Sr. Data Analyst - Card

Richmond, VA

$85K - $107K/yr

Sr. Data Analyst - Card 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 - 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 ...

Capital One

Senior Data Analyst - Card

Richmond, VA · On-site

$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 ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Sandston, VA

Afternoon Data Analyst R Programming information

See Sandston, VA salary details

$33.3K

$80.9K

$133.1K

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

As of Aug 17, 2026, the average yearly pay for afternoon data analyst r programming in Sandston, VA is $80,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $94,900.00 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.

What job categories do people searching Afternoon Data Analyst R Programming jobs in Sandston, VA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Sandston, VA are:

What cities near Sandston, VA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Sandston, 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 Sandston, VA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,873 per year, or $38.9 per hour.

Data Analyst

Seneca Resources Company, LLC

Richmond, VA • On-site

Full-time, Contractor

Re-posted 24 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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