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Afternoon Data Analyst R Programming Jobs in Smithfield, VA

Ignite Digital

Data Analyst

Chesapeake, VA · On-site

$90K/yr

Conduct statistical analysis and develop predictive models using R or Python. * Communicate ... Collaborate with analysts, developers, and system engineers to design and implement datacentric ...

Ignite Digital

Senior Data Analyst

Chesapeake, VA · On-site

$100K/yr

Required Skills & Experience: * 7+ years of professional experience in data analysis, analytics engineering, or related disciplines. * Expert-level proficiency in R or Python, SQL, and multiple ...

PRA Group

Analyst - Investment Analytics

Norfolk, VA · On-site

... relational programming tools such as SQL. * 3+ years' Cash Flow Modeling work experience, - 3+ ... Some knowledge of Data analysis R, Python, Power BI and other analysis tools. * Advanced knowledge ...

Commence

Sr. Data Analyst

Virginia Beach, VA · On-site

$130K - $160K/yr

... oriented programming language such as Python or R. * Experience building analytical datasets ... Strong data validation, data governance, and documentation practices. * Excellent communication and ...

Commence

Sr. Data Analyst

Virginia Beach, VA · On-site

$130K/yr

... oriented programming language such as Python or R. * Experience building analytical datasets ... Strong data validation, data governance, and documentation practices. * Excellent communication and ...

Commence

Sr. Data Analyst

Virginia Beach, VA

$130K - $160K/yr

... oriented programming language such as Python or R. * Experience building analytical datasets ... Strong data validation, data governance, and documentation practices. * Excellent communication and ...

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

Afternoon Data Analyst R Programming information

See Smithfield, VA salary details

$31.6K

$76.9K

$126.5K

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

As of Sep 12, 2026, the average yearly pay for afternoon data analyst r programming in Smithfield, VA is $76,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $90,200.00 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 cities near Smithfield, VA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Smithfield, 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 Smithfield, VA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $76,855 per year, or $36.9 per hour.

Data Analyst

Chesapeake, VA • On-site

Ignite Digital
See more jobs at Ignite Digitalexternal

$90K/yr

Full-time

Re-posted 16 days ago

Job description

Ignite Digital is seeking a MidLevel Data Analyst to support a US Navy data analytics, cloud management, and IT modernization program in Norfolk, VA. This role advances Navy digital transformation by enabling highquality data insights, modern architectures, and enhanced decisionmaking across mission operations.

Position Overview

The MidLevel Data Analyst is responsible for performing sophisticated data analysis, developing reports, and creating intuitive visualizations that drive datainformed decisions. The ideal candidate can work independently or collaboratively, spot opportunities for improvement, and translate analytical findings into operational value. This role also includes mentoring junior analysts and supporting the development of data analysis standards and best practices.

Key Responsibilities:

  • Collect, clean, validate, and integrate data from multiple structured and unstructured sources, ensuring accuracy and integrity.
  • Perform exploratory data analysis to identify trends, patterns, risks, and anomalies.
  • Develop and maintain data models, databases, and analytical workflows.
  • Build and publish dashboards, reports, and visualizations using tools such as Tableau, Power BI, or similar platforms.
  • Conduct statistical analysis and develop predictive models using R or Python.
  • Communicate insights, findings, and recommendations clearly to technical and nontechnical stakeholders.
  • Collaborate with analysts, developers, and system engineers to design and implement datacentric solutions.
  • Mentor junior analysts and provide guidance on tools, techniques, and analytic methodologies.
  • Document workflows, processes, models, and analysis techniques for repeatability and program compliance.
  • Contribute to the development and refinement of analytics best practices and standardized methods.

Required Skills & Experience:

  • 4+ years of professional experience in data analytics.
  • Strong proficiency in R or Python, SQL, Excel, and modern data visualization platforms (e.g., Tableau, Power BI).
  • Experience with statistical analysis and predictive modeling methodologies.
  • Strong analytical reasoning and problemsolving skills.
  • Excellent communication and presentation capabilities.

Education & Certifications:

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or another related field.

Clearance

  • Active DoW SECRET security clearance required.

Salary: $90k+ to align with education and experience.

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