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Afternoon Data Analyst R Programming Jobs in Sandston, VA

Markel Corporation

Sr. People Analytics Data Analyst

Richmond, VA · On-site

$78K - $107K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Exposure to Python, R, or other scripting/statistical tools used for data preparation, analysis, or automation * Experience connecting data across multiple systems and explaining how data structure ...

Koalafi

Financial Data Analyst

Richmond, VA · On-site +1

$103K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Finance, Economics, Business, Engineering, or a quantitative field * 2 - 5 years of experience in FP&A, strategic finance, data/business analytics, investment banking, capital ...

Koalafi

Financial Data Analyst

Richmond, VA · On-site

$103K - $131K/yr

Bachelor's degree in Finance, Economics, Business, Engineering, or a quantitative field * 2 - 5 years of experience in FP&A, strategic finance, data/business analytics, investment banking, capital ...

New

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 ...

Brooksource

Data Analyst/Power BI Developer

Richmond, VA · On-site

$35 - $47/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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 ...

Carmax

Sr. Analyst, Retail Data Strategy

Richmond, VA · On-site

$85K - $107K/yr

  • PTO

This role sits at the intersection of data engineering and business analytics, partnering across Data Engineering, Technology and Product, and Strategy Analysts to build and maintain the data ...

Carmax

Sr. Analyst, Retail Data Strategy

Richmond, VA · On-site

$88K - $132K/yr

  • PTO

This role sits at the intersection of data engineering and business analytics, partnering across Data Engineering, Technology and Product, and Strategy Analysts to build and maintain the data ...

CarMax, Inc.

Sr. Analyst, Retail Data Strategy

Richmond, VA · On-site

$85K - $107K/yr

  • PTO

This role sits at the intersection of data engineering and business analytics, partnering across Data Engineering, Technology and Product, and Strategy Analysts to build and maintain the data ...

Carmax, Inc.

Sr. Analyst, Retail Data Strategy

Richmond, VA · On-site

$85K - $107K/yr

  • PTO

This role sits at the intersection of data engineering and business analytics, partnering across Data Engineering, Technology and Product, and Strategy Analysts to build and maintain the data ...

Gerdau

ENERGY DATA & REPORTING ANALYST

Petersburg, VA · On-site

Bachelor's Energy Management, Engineering, Environmental Science, Data Science, Analytics, or related field jobs. Technical Skills: Proficiency in Excel, SQL, data modeling, statistical analysis, and ...

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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 18, 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.

Sr. People Analytics Data Analyst

Markel International

Richmond, VA

$78K - $107K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

What part will you play? If you're looking for a place where you can make a meaningful difference, you've found it.

The work we do at Markel gives people the confidence to move forward and seize opportunities, and you'll find your fit amongst our global community of optimists and problem-solvers. We're always pushing each other to go further because we believe that when we realize our potential, we can help others reach theirs. Join us and play your part in something special! Markel is seeking a Sr. People Analytics Data Analyst to join our HR Technology & Analytics team. In this role, the incumbent will serve as a fully competent analytics professional responsible for independently developing and maintaining scalable data solutions that support enterprise people analytics priorities. This role will build and optimize data pipelines that transform Workday data and integrate it with external data sources, design and maintain dashboards relied upon by HR and business partners. This work will be performed primarily in Workday and Microsoft tools.

Key Responsibilities

  • Own the design, development, and ongoing maintenance of interactive dashboards and visualizations in Power BI and Workday Prism, ensuring reporting assets remain accurate, user-friendly, and aligned to evolving business needs
  • Build, optimize, and maintain scalable data pipelines in Workday and/or external source systems that transform, join, validate, and prepare data for downstream reporting and analytics
  • Identify, recommend, and implement automation opportunities that reduce manual reporting effort, improve repeatability, and strengthen operational efficiency
  • Build and enhance reports using Workday's native reporting tools, including discovery boards and worksheets, to support recurring reporting, self-service analytics, and ad hoc business needs
  • Lead data validation, reconciliation, and troubleshooting efforts for assigned reporting assets, resolving discrepancies and escalating systemic data quality issues when needed
  • Partner with business stakeholders and HR Centers of Excellence to understand reporting requirements and translate them into scalable data solutions
  • Document business rules, metrics definitions, and data lineage to support governance and consistency across reporting assets

Qualifications Required

  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Mathematics, Human Resources, Business Analytics, or a related field, or equivalent practical experience
  • 5+ years of experience in data analytics, business intelligence, HR analytics, reporting, or a related analytical discipline
  • Hands-on experience designing, building, and maintaining data pipelines or automated workflows using Alteryx or a similar ETL tool
  • Experience developing and maintaining dashboards and data visualizations in Power BI or a similar BI tool
  • Demonstrated ability to analyze data and communicate insights clearly
  • Strong data quality mindset with the ability to validate outputs, document assumptions, and apply consistent business rules across reporting assets
  • Strong attention to detail and commitment to data quality
  • Ability to manage multiple priorities and shifting requests in a fast-paced environment

Preferred (Not Required)

  • Experience working in People Analytics, Workforce Analytics, HR Technology, HR reporting, or another analytics function supporting people-related data
  • Experience with Workday, Workday Prism, Workday reporting, discovery boards, or another major HRIS/ERP platform
  • Exposure to Python, R, or other scripting/statistical tools used for data preparation, analysis, or automation
  • Experience connecting data across multiple systems and explaining how data structure, quality, and lineage affect reporting outcomes
  • Familiarity with HR concepts, employee lifecycle data, workforce metrics, or governance practices related to people data
  • Experience creating reusable datasets, metric definitions, documentation, or reporting standards that improve consistency and self-service analytics

US Work Authorization

US Work Authorization required. Markel does not provide visa sponsorship for this position, now or in the future.

Pay information:

The base salary offered for the successful candidate will be based on compensable factors such as job-relevant education, job-relevant experience, training, licensure, demonstrated competencies, geographic location, and other factors. The national average salary range for the Sr. People Analytics Data Analyst is $78,000 to $107,250 with 15% incentive.

Who we are:

Markel Group (NYSE - MKL) a fortune 500 company with over 60 offices in 20+ countries, is a holding company for insurance, reinsurance, specialist advisory and investment operations around the world.

We're all about people | We win together | We strive for better

We enjoy the everyday | We think further

What's in it for you:

In keeping with the values of the Markel Style, we strive to support our employees in living their lives to the fullest at home and at work.

  • We offer competitive benefit programs that help meet our diverse and changing environment as well as support our employees' needs at all stages of life.

  • All full-time employees have the option to select from multiple health, dental and vision insurance plan options and optional life, disability, and AD&D insurance.

  • We also offer a 401(k) with employer match contributions, an Employee Stock Purchase Plan, PTO, corporate holidays and floating holidays, parental leave.

Are you ready to play your part?

Choose 'Apply Now' to fill out our short application, so that we can find out more about you.

Caution: Employment scams

Markel is aware of employment-related scams where scammers will impersonate recruiters by sending fake job offers to those actively seeking employment in order to steal personal information. Frequently, the scammer will reach out to individuals who have posted their resume online. These "job offers" include convincing offer letters and frequently ask for confidential personal information. Therefore, for your safety, please note that:

  • All legitimate job postings with Markel will be posted on Markel Careers. No other URL should be trusted for job postings.

  • All legitimate communications with Markel recruiters will come from Markel.com email addresses.

We would also ask that you please report any job employment scams related to Markel to rarecruiting@markel.com.

Markel is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of any protected characteristic. This includes race; color; sex; religion; creed; national origin or place of birth; ancestry; age; disability; affectional or sexual orientation; gender expression or identity; genetic information, sickle cell trait, or atypical hereditary cellular or blood trait; refusal to submit to genetic tests or make genetic test results available; medical condition; citizenship status; pregnancy, childbirth, or related medical conditions; marital status, civil union status, domestic partnership status, familial status, or family responsibilities; military or veteran status, including unfavorable discharge from military service; personal appearance, height, or weight; matriculation or political affiliation; expunged juvenile records; arrest and court records where prohibited by applicable law; status as a victim of domestic or sexual violence; public assistance status; order of protection status; status as a smoker or nonsmoker; membership or activity in local commissions; the use or nonuse of lawful products off employer premises during non-work hours; declining to attend meetings or participate in communications about religious or political matters; or any other classification protected by applicable law.

Should you require any accommodation through the application process, please send an e-mail to therarecruiting@markel.com.

No agencies please.

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