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Afternoon Data Analyst R Programming Jobs in Richmond, VA

Capital One

Sr. Data Analyst - Retail Bank

Richmond, VA · On-site

$85K - $107K/yr

Sr. Data Analyst - Retail Bank 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

Sr. Data Analyst - Enterprise Risk

Richmond, VA

$85K - $107K/yr

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

Capital One

Principal Data Analyst

Richmond, VA · On-site

$105K - $160K/yr

... Engineering, or a related quantitative field and 5 years of experience in performing data analytics ... • In lieu of a bachelor's or foreign equivalent degree in the aforementioned fields and 5 years ...

Capital One

Principal Data Analyst

Richmond, VA · On-site +1

$105K - $160K/yr

... Engineering, or a related quantitative field and 5 years of experience in performing data analytics ... In lieu of a bachelor's or foreign equivalent degree in the aforementioned fields and 5 years of ...

PlanIT Group, LLC

Sr. Business Data Analyst

Richmond, VA · On-site

PlanIT Group, LLC is seeking a Senior Business Data Analyst to lead data discovery and requirements ... PlanIT Group is an IT and engineering professional services company which provides top-tier talent ...

Varsity Tutors

Data Science Tutor

Richmond, VA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Brooksource

Data Analyst/Power BI Developer

Richmond, VA · On-site

$35 - $47/hr

Data Analyst / Power BI Developer Richmond, VA Hybrid role Compensation: $40 - $45/hr Contract Duration: 12 Months (with potential to extend) ABOUT THE ROLE Join as a Data Analyst / Power BI ...

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

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 Aug 8, 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?

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 August 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.

Principal Data Analyst - Business Cards & Payments - Field Strategy

Capital One

Richmond, VA • On-site

Full-time

Re-posted 17 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks

Job description

Principal Data Analyst - Business Cards & Payments - Field Strategy
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
On any given day you will be challenged on three types of work - Innovation, Business Intelligence and Data Management:
Innovation
  • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
  • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence
  • Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
  • Drive analysis that provides meaningful insights on business strategies

Data Management
  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
  • Build and execute tools to monitor and report on data quality

Our ideal candidate will have:
  • Degree specialized in a Science, Technology, Engineering, Mathematics discipline
  • Scripting experience in (Python, R, Spark, and SQL)
  • Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
  • Experience utilizing and developing within AWS services

Basic Qualifications
  • Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
  • At least 3 years of experience working with at least one scripting language
  • At least 3 years of experience utilizing a business intelligence visualization tool
  • At least 3 years of experience in querying, analyzing and working with data languages and platforms

Preferred Qualifications:
  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline
  • At least 4 years of experience coding in Python, R, Spark, or SQL
  • At least 4 years of experience working within process management and improvement methodologies - Agile, Lean, Six Sigma, etc.
  • At least 2 years of experience utilizing and developing within AWS services
  • At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $131,300 - $149,800 for Principal Data Analyst
Richmond, VA: $119,400 - $136,200 for Principal Data Analyst
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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