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Afternoon Data Analyst R Programming Jobs in Hampton, VA

PRA Group

Senior Data Analyst

Norfolk, VA · On-site

$87K - $134K/yr

... R shiny preferred). * Able to write complex join, union, pivot, common table expression query ... BA/BS degree, preferably in a Science, Technology, Engineering, Mathematics (STEM) or another field.

PRA Group, Inc.

Senior Data Analyst

Norfolk, VA · On-site

$87K - $134K/yr

... R shiny preferred). * Able to write complex join, union, pivot, common table expression query ... BA/BS degree, preferably in a Science, Technology, Engineering, Mathematics (STEM) or another field.

Guidehouse

Data Scientist

Norfolk, VA

THREE (3) or more years of specialized experience in data analysis. * Python or R Programming experience * Experience in at least one visualization tool (e.g. Tableau, Qlik, Power BI) * Must be able ...

N-C

Industrial Engineer

Chesapeake, VA · On-site

$68K - $91K/yr

Conduct statistical data analysis to identify trends, patterns, and opportunities for process improvement utilizing key data analysis and visualization tools such as Excel, Python, R Programming ...

Guidehouse

Data Scientist

Norfolk, VA

THREE (3) or more years of specialized experience in data analysis. * Python or R Programming experience * Experience in at least one visualization tool (e.g. Tableau, Qlik, Power BI) * Must be able ...

Guidehouse

Data Scientist

Norfolk, VA · On-site

THREE (3) or more years of specialized experience in data analysis. * Python or R Programming experience * Experience in at least one visualization tool (e.g. Tableau, Qlik, Power BI) * Must be able ...

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Afternoon Data Analyst R Programming information

See Hampton, VA salary details

$32.9K

$79.9K

$131.4K

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

As of Jul 20, 2026, the average yearly pay for afternoon data analyst r programming in Hampton, VA is $79,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 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 Hampton, VA? The most popular types of Data Analyst R Programming jobs in Hampton, VA are:
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Afternoon Data Analyst R Programming jobs near you
Data Analyst

Data Analyst

Enterprise Business Solutions Inc

Virginia Beach, VA • On-site

Other

Re-posted yesterday

Job description

Job Summary

We are seeking a Data Analyst to collect, analyze, and interpret large datasets to support business decision-making. The ideal candidate will have strong analytical skills, experience with data visualization tools, and proficiency in SQL and reporting.

Required Skills

< data-start=528 data-end=549>Technical Skills

  • Strong experience with SQL for data extraction and analysis
  • Experience with Excel (Pivot Tables, VLOOKUP, Power Query)
  • Proficiency in Power BI, Tableau, or similar visualization tools
  • Knowledge of data modeling and database concepts
  • Experience with Python or R for data analysis (preferred)
  • Understanding of ETL processes and data warehousing concepts
  • Ability to create dashboards, reports, and KPIs

< data-start=989 data-end=1010>Responsibilities

  • Gather, analyze, and validate data from multiple sources
  • Develop reports and dashboards to support business stakeholders
  • Identify trends, patterns, and actionable insights
  • Perform data quality checks and data cleansing activities
  • Collaborate with business teams to define reporting requirements
  • Present findings and recommendations to stakeholders
  • Support ad hoc reporting and analytical requests

< data-start=1423 data-end=1442>Qualifications

  • Bachelor''''''''''''''''''''''''''''''''s degree in Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or related field
  • 2–5+ years of Data Analyst experience
  • Strong analytical and problem-solving skills
  • Excellent communication and documentation abilities
  • Experience working in Agile environments is a plus
Preferred Skills
  • Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud
  • Knowledge of machine learning concepts
  • Experience with Snowflake, Databricks, or Big Data technologies

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