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Afternoon Data Analyst R Programming Jobs in Kinston, NC

Attollo LLC

Software Developer

New Bern, NC · On-site

... Apply analytical techniques to evaluate data and reach conclusions. • Contribute to code review, unit testing, and provide constructive feedback. • Assist in managing codebase maintenance ...

RPMGlobal

Engineer III, Tooling - PERM 10224

New Bern, NC · On-site

$107K - $152K/yr

Engineer III, Tooling - PERM 10224**Job Category**Production**Job's City**New Bern**Job's State ... Use data analysis/SPC to drive improvements. Incorporate lean manufacturing principles in all areas ...

New

Valicy

Quality Assurance Analyst

Greenville, NC · On-site

Collaborate with Product Managers, Developers, QA leadership, and other stakeholders to define ... Validate data mapping, transformation logic, message formats, transaction flows, and system ...

ALTEN Technology USA

IT/OT Engineer

Kinston, NC · On-site

We are seeking an IT/OT Engineer to serve as the technical bridge between Information Technology ... data analytics platforms. * Support data collection, visualization, and reporting initiatives.

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Kinston, NC

Afternoon Data Analyst R Programming information

See Kinston, NC salary details

$31.7K

$77.2K

$127K

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

As of Aug 20, 2026, the average yearly pay for afternoon data analyst r programming in Kinston, NC is $77,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $90,600.00 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 are the most commonly searched types of Data Analyst R Programming jobs in Kinston, NC?

The most popular types of Data Analyst R Programming jobs in Kinston, NC are:

What cities near Kinston, NC are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Kinston, NC 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 Kinston, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $77,169 per year, or $37.1 per hour.

Staff Validation Engineer, Process and Cleaning

Thermo Fisher Scientific

Greenville, NC • On-site

Full-time

Re-posted 25 days ago

Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 427 frontline employees who took The Breakroom Quiz

199th of 542 rated manufacturers

Job description

Work Schedule
First Shift (Days)
Environmental Conditions
Adherence to all Good Manufacturing Practices (GMP) Safety Standards, Cleanroom: no hair products, jewelry, makeup, nail polish, perfume, exposed piercings, facial hair etc... allowed, Office, Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.)
Job Description
How will you make an impact?
The Staff Engineer, Process and Cleaning Validation supports Thermo Fisher's mission by ensuring manufacturing processes and cleaning procedures are validated, compliant, and capable of consistently delivering high-quality products in a sterile/aseptic environment.
What will you do?
  • Lead process validation (PPQ) and cleaning validation activities
  • Develop validation strategies for new and existing products and processes
  • Author and execute validation protocols and reports
  • Perform data analysis to support validation conclusions
  • Support change controls, deviations, and CAPAs
  • Collaborate with Manufacturing, Quality, and MS&T teams
  • Ensure alignment with cGMP and regulatory expectations
  • Support internal and external audits and inspections

How will you get here?
Education:
  • Bachelor's degree in Engineering, Chemistry, Life Sciences, or related field

Experience:
  • 8+ years of experience in process and/or cleaning validation
  • Experience in sterile/aseptic manufacturing environments (required)
  • Strong knowledge of cleaning validation, including residue limits and risk-based approaches
  • Experience with lifecycle validation and PPQ

Knowledge, Skills, Abilities:
  • Strong understanding of cGMP and regulatory requirements
  • Data analysis and problem-solving skills
  • Technical writing and documentation expertise
  • Ability to manage multiple projects and priorities
  • Strong cross-functional collaboration skills

What Thermo Fisher Scientific employees say

Pay

Benefits

Hours and flexibility

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