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Afternoon Data Analyst R Programming Jobs in Smithfield, VA

Industrial Engineer

Chesapeake, VA · On-site

$92K - $114K/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 ...

Bachelor's degree in Statistics, Mathematics, Engineering, or related analytical field * Minimum 3 ... Statistical analysis software proficiency (R, SPSS, SAS, or equivalent) * Data visualization and ...

Bachelor's degree in Statistics, Mathematics, Engineering, or related analytical field * Minimum 3 ... Statistical analysis software proficiency (R, SPSS, SAS, or equivalent) * Data visualization and ...

The CAF Data Analyst will provide advisory, analytical, and administrative support to the A3 and A3 ... engineering, cleaning, and transforming complex datasets * 3 years of experience with military ...

The Health Data Analyst Intern supports the Commence Data team with entry-level analytic and data ... Write and run basic SQL queries or simple Python or R scripts against defined datasets under ...

Requirements The Health Data Analyst Intern supports the Commence Data team with entry-level ... Write and run basic SQL queries or simple Python or R scripts against defined datasets under ...

Requirements The Health Data Analyst Intern supports the Commence Data team with entry-level ... Write and run basic SQL queries or simple Python or R scripts against defined datasets under ...

Data Science Tutor

Norfolk, 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 ...

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 21-40

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 Aug 18, 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.

Industrial Engineer

N-C

Chesapeake, VA • On-site

$92K - $114K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Job description

Busch Vacuum Solutions is a leading manufacturer of vacuum pumps, compressors, and blowers for use in industries such as semiconductor manufacturing, food processing, metallurgy, biomedical, and material handling.
We have an exciting opportunity for an experienced Industrial Engineer to join our Regional Distribution Center (RDC) team in Chesapeake, Virginia.
This is a fully onsite position. Regular business hours are Monday through Friday, 8:00 AM ET to 4:30 PM ET, with flexibility required based on business needs and operational requirements.
The Industrial Engineer plays a key role in driving operational excellence through process optimization, continuous improvement, facility layout planning, capacity analysis, and data-driven decision making. This position partners closely with operations, supply chain, and warehouse teams to improve productivity, reduce costs, and support the efficient flow of materials throughout the distribution center.
Targeted Compensation: The targeted compensation range for this position is $92,000-$114,000 annually, depending on the selected candidate's qualifications, skills, and relevant experience.
If you enjoy solving complex operational challenges, implementing process improvements, and making a measurable impact on business performance, we encourage you to apply and discover why Busch Vacuum Solutionsis a great place to build your career.
Job Responsibilities
  • 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, Tableau/PowerBI and ERP systems to gather insights and drive decision-making.
  • Employ tools such as Time Studies, Value Stream Mapping (VSM), and Statistical Process Control (SPC) to meticulously analyze current manufacturing processes, identifying opportunities for improvement in efficiency, productivity, and cost-effectiveness.
  • Develop and implement efficient workflows and layout configurations, integrating methodologies such as Kanban, Kaizen, and 5S principles, to optimize resource utilization and minimize production bottlenecks.
  • Develop and implement robust quality control procedures and streamline processes incorporating methodologies such as Six Sigma, FMEA (Failure Mode and Effects Analysis), and RCA (Root Cause Analysis), to ensure compliance with industry standards and customer requirements.
  • Optimize warehouse operations by collaborating with supply chain partners, including inventory management, order fulfillment, and logistics, to improve efficiency and reduce costs.
  • Construct and update capacity models from product, process, equipment, and labor data by analyzing product inputs and capacity models to perform capacity planning.
  • Utilize discrete event simulation techniques to model and analyze complex systems, identifying bottlenecks and optimizing throughput.
  • Conduct thorough cost analysis, including ROI calculations, to evaluate the financial impact of proposed process improvements. Prepare comprehensive reports and documentation outlining findings and recommendations for management review and decision-making.
  • Manage projects using project management software such as Microsoft Project/JIRA, ensuring timely completion and delivery of objectives.
  • Lead lean initiatives and continuous improvement projects to enhance operational efficiency and effectiveness.
  • Collaborate with cross-functional teams to implement process improvements and achieve operational goals.
  • Perform other duties as assigned.

Required Experience
  • Bachelor's Degree in Supply Chain Management, Operations Management, Engineering, Mathematics, Business, or a related field required.
  • Four (4+) years of experience in a manufacturing production control environment utilizing a modern ERP system required.
  • Strong proficiency with Microsoft Office applications.
  • SAP experience preferred.
  • Experience utilizing statistical data analysis tools including Excel, R Programming/Python, Power BI, and Tableau preferred.
  • Experience with Statistical Process Control (SPC), Minitab, or similar statistical analysis software preferred.
  • Experience with Value Stream Mapping, facility layout planning, Lean Manufacturing principles, and continuous improvement methodologies preferred.
  • Six Sigma Green Belt certification preferred.
  • Experience utilizing SolidWorks or other CAD software preferred.
  • Knowledge of capacity analysis techniques and discrete event simulation software such as Simul8, Arena, Matlab, or Python SimPy preferred.
  • Familiarity with ERP systems such as SAP or INFOR preferred.
  • Experience utilizing Microsoft Project, JIRA, or similar project management software preferred.

Personal Qualifications
  • Strong analytical and problem-solving skills.
  • Ability to think critically and make data-driven decisions.
  • Excellent organizational and time-management skills.
  • Self-motivated with the ability to work independently and manage multiple priorities.
  • Strong written and verbal communication skills.
  • Collaborative team player who works effectively across departments.
  • Adaptable and flexible in a fast-paced environment.
  • Results-focused with a continuous improvement mindset.
  • Strong attention to detail and commitment to quality and safety.

Job Requirements
  • Ability and willingness to pass a 10-panel drug screen and 7-year criminal history check.
    • Most felonies are a disqualifier, misdemeanors are considered on a case-by-case basis
  • Must be willing and able to utilize all required PPE.
  • Valid driver's license required and must meet Busch insurance requirements.
  • Ability and willingness to travel (up to 10%) including occasional domestic and international travel.
  • Employment with Busch Vacuum Solutions requires current work authorization in the United States. Visa sponsorship is not available for this position.

Physical Requirements
  • Frequent standing, walking, sitting, lifting, and carrying up to 25 lbs.
  • Occasional climbing, squatting, kneeling, reaching overhead, and lifting up to 50 lbs.
  • Must be able to see and hear audible and visual alarms and wear all required PPE (safety shoes, electrical hazard gear, safety glasses, hearing protection, etc.).

Benefits & Opportunities
Busch Vacuum Solutions offers an attractive benefits package, which includes medical, dental, vision, EAP, tuition reimbursement, Legal Plan, 401K, PTO, and more!
Opportunity for growth and advancement via on-the-job training, paid training/certifications, tuition reimbursement, and opportunities for advancement within the company. Busch values promoting from within!
Work Environment
Climate-controlled office environment combined with a warehouse and distribution center environment with moderate noise levels and warehouse activity. Employees may be required to work in both office and operational areas while supporting process improvement initiatives and operational projects.
Reasonable accommodations may be made to help enable qualified individuals with disabilities to perform the essential functions. To accomplish this job successfully, an individual must be able to perform, with or without reasonable accommodation, each essential function satisfactorily.
Why work for Busch Vacuum Solutions?
As diverse and boundless as the world of vacuum is, so are the jobs and tasks at Busch. We welcome all talents, regardless of education, age, gender, or nationality; worldwide.
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