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Afternoon Data Analyst R Programming Jobs in Smithfield, VA

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 ...

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 ...

Showing results 41-60

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 13, 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:

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.

Junior Data Analyst

Norfolk, VA β€’ On-site

Engineering Services Network, Inc
51 - 200 employees

Full-time

Re-posted 8 days ago


Key responsibilities

  • Support the development, revision, and validation of program documentation and maintenance plans.

  • Update maintenance and ship work planning databases using completion data and coordinate with internal and external activities.

  • Conduct reviews to validate completion of work packages and develop metrics to monitor performance.


Job description

Job Title
Junior Data Analyst
Location
NORFOLK NAVAL SHIPYARD - VA US (Primary)
Job Description
Founded in 1995, ESN is a Small Disadvantaged Business (SDB), Service-Disabled Veteran-Owned Small Business (SDVOSB) and Veteran Owned Small Business (VOSB). ESN delivers trusted solutions that support our nation's defense. For more than two decades, we have been providing our military and government customers with mission-critical services including engineering and technical support, strategic and program management, testing and evaluation, operations, support, and information technology. We are committed to proven, repeatable corporate quality management processes and are certified CMMI Maturity Level III - Development/Services & ISO 9001:2015.
We are seeking a highly motivated Junior Data Analyst.
Located onsite at Norfolk Naval Shipyard, Portsmouth, VA.
The job demands a solid understanding of standard data, statistical, and financial analytics and business process improvement. The candidate will assist senior analysts who advise management on the effectiveness of government programs and operations or the productivity and efficiency of agency operation.
Duties:
  • Support development, revisions and/or validation of various program office documentation such as, but not limited to, the Aircraft Carrier Class Maintenance Plan (ACCMP) manual; Expanded Ship's Work Breakdown Structure (ESWBS) manual; and Process Instructions;
  • Support development and management of the Class Maintenance Plan (CMP) and Baseline Availability Work Packages (BAWP) for execution of life-cycle maintenance requirements during aircraft carrier availabilities, to include integration of assessments, maintenance requirements, inspections, certifications, modernization and services;
  • Conduct end-of-availability reviews to validate completion of BAWP items;
  • Update Maintenance and Ship Work Planning (M&SWP),or similar, and maintenance history databases using Availability Work Package (AWP) completion data, including financial and material history;
  • Coordinate with internal and external activities such as NAVSEA, Type Commander (TYCOM), Naval Supervising Activities (NSA), RPPY, PPPY, PPEA, Industrial Activities and Ship's Force;
  • Review Current Ship's Maintenance Project (CSMP) data to support advance planning efforts, CMP refinement and budget development;
  • Identify and remove U-NNPI information from aircraft carrier P-OMMS CSMP files;
  • Develop and maintain metrics.

Qualifications/Education:
  • High school diploma
  • Strong verbal and written communication skills and interpersonal skills and possess the ability to learn.
  • (Recommended) Experience with U-NNPI, P-OMMS and CSMP programs and databases.
  • Knowledge of Maintenance and Modernization of Navy ships.

Skills and Abilities:
  • Problem formulation, analytical and problem-solving skills, with the ability to communicate in a clear and succinct manner.
  • Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing and presenting findings.
  • Must be proficient with Microsoft Office Suite with emphasis on Excel.
  • Ability to work independently or within a team environment.
  • Comfortable with taking the initiative and determining the best path forward given multiple valid approaches.

Physical Demands and Expectations:
  • Regular physical activity to include walking, climbing stairs, and standing; frequent periods of prolonged sitting may be required.
  • Ability to speak, read, hear, and write, with or without assistance.
  • Ability to use phone and computer systems, copier, fax and other office equipment.

Security Clearance: Secret
Job Requirements
Clearance Requirement