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Afternoon Data Analyst R Programming Jobs in Kinston, NC

R&D Analyst/Engineer

Kinston, NC · Hybrid

$135K - $180K/yr

D. in Engineering, Operations Research, Applied Mathematics, Statistics, or a related technical ... Strong quantitative and data analysis skills, including working with large, complex datasets to ...

... processes, engineering changes, and operational systems, ensuring accurate production data ... Core Competencies · Strong analytical and problem-solving ability. · Excellent communication ...

... processes, engineering changes, and operational systems, ensuring accurate production data ... Core Competencies • Strong analytical and problem-solving ability. • Excellent communication ...

Ensure work instructions accurately reflect current production processes and engineering Data ... Core Competencies Strong analytical and problem-solving ability. Excellent communication skills ...

Quality Engineer

Kinston, NC · On-site

$65K - $84K/yr

Quality Engineer Professional Kinston, NC, US ... Support quality team, perform data analysis and root cause analysis * Analyze and provide material ...

New

Ensure work instructions accurately reflect current production processes and engineering Data ... Strong analytical and problem-solving ability. * Excellent communication skills--able to translate ...

Quality Engineer

Kinston, NC · On-site

$65K - $84K/yr

* Support quality team, perform data analysis and root cause analysis * Analyze and provide material ... Bachelor's degree in aerospace, Industrial, Mechanical Engineering * 4 -5 years of experience in an ...

Showing results 21-40

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 Sep 10, 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Kinston, NC look for?

The top searched job categories for Afternoon 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:

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.

Summer 2027 Internship - Data Science - Remote

Greenville, NC • On-site

Stryker
Medical Equipment and Supplies Manufacturing • 10K+ employees

$35/hr

Other

Posted 8 days ago


Key responsibilities

  • Assist in developing, analyzing, and modeling organizational data to support strategic decision-making.

  • Collaborate with cross-functional teams to identify trends, forecast business outcomes, and support initiatives using data analysis and visualization tools.

  • Contribute to the development of scalable data-driven solutions that enhance business impact.


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who we want

Challengers. People who seek out the hard projects and work to find just the right solutions. Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward. Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts. Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives. Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships. Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

  • Develop, analyze and model operational, economic, management, accounting and other organizational data. Recommends solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets, evaluates the potential impact of changes and reports on economic forecasts that affect the industry. This position requires knowledge that is acquired through experience, specialized education or training. The role has clearly defined procedures and tasks as well as defined guidelines to aid in decision making. Technical knowledge required is limited to the tasks performed in own discipline area and is considered basic. The tasks are generally routine and manual. The job is expected to follow detailed and defined rules / instructions and to make simple judgement in straightforward situations. Typically requires selecting between solutions already established. This job typically requires no experience.
  • The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division. The intern will achieve this through hands-on data exploration, advanced analytics, and collaboration with cross-functional teams to identify trends, forecast business outcomes, and support initiatives across Inventory, PLCM, and Customer Service. By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute to the development of scalable solutions that enhance business impact and support data-driven strategies.

Majors Targeted: Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics, Finance

What You Need

  • Currently pursuing a Bachelor’s or Master’s degree in a related field; must remain enrolled in a degree-seeking program after the internship.
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require sponsorship now or in the future.
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment.

Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days.

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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