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Freelance Data Analyst R Programming Jobs in Kinston, NC

This role involves analyzing product and process data to ensure compliance with engineering requirements, quality standards, and customer expectations. Essential Functions: * Implement processes ...

Manufacturing Engineer

Kinston, NC · On-site

$66.50K - $85.60K/yr

The Manufacturing Engineer will support the design, development, and implementation of ... Data Analysis & Reporting: Monitor production metrics, collect and analyze data, and prepare ...

Manufacturing Engineer

Kinston, NC · On-site

$66.50K - $85.60K/yr

The Manufacturing Engineer will support the design, development, and implementation of ... Data Analysis & Reporting: Monitor production metrics, collect and analyze data, and prepare ...

Manufacturing Engineer

Kinston, NC

$66.50K - $85.60K/yr

The Manufacturing Engineer will support the design, development, and implementation of ... Data Analysis & Reporting: Monitor production metrics, collect and analyze data, and prepare ...

Strong analytical and problem-solving skills, with working knowledge of at least one programming ... Python, R, MATLAB, or SAS) This employer will not sponsor applicants for work visas for this ...

Senior Cost Analyst

New Bern, NC · On-site

$76.30K - $96.90K/yr

Works closely with Directors of Production, Materials, Engineering, and Quality to ensure adequate ... Intermediate/advanced spreadsheet skills, including data uploads/downloads and data manipulation.

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Freelance Data Analyst R Programming information

See Kinston, NC salary details

$31.7K

$77.2K

$127K

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

As of May 31, 2026, the average yearly pay for freelance 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 are the key skills and qualifications needed to thrive as a Freelance Data Analyst with R Programming expertise, and why are they important?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.

What does a Freelance Data Analyst specializing in R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

What is the difference between Freelance Data Analyst R Programming vs Freelance Data Scientist R Programming?

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

What cities near Kinston, NC are hiring for Freelance Data Analyst R Programming jobs? Cities near Kinston, NC with the most Freelance Data Analyst R Programming job openings:
Infographic showing various Freelance Data Analyst R Programming job openings in Kinston, NC as of May 2026, with employment types broken down into 4% As Needed, 61% Full Time, 16% Part Time, and 19% Contract. Highlights an 74% Physical, 13% Hybrid, and 13% Remote job distribution, with an average salary of $77,169 per year, or $37.1 per hour.

Other

Posted 4 days ago


Job description

Description

AAA United States, Inc. has partnered with a company in Kinston, North Carolina that is one of the world's largest manufacturers of aerostructures for commercial airplanes, defense platforms, and business/regional jets. With expertise in aluminum and advanced composite manufacturing solutions, the company's core products include fuselages, integrated wings and wing components, pylons, and nacelles.


The Quality Technical Analyst will be responsible for supporting the development, implementation, and maintenance of quality systems and processes. This role involves analyzing product and process data to ensure compliance with engineering requirements, quality standards, and customer expectations.


Essential Functions:

  • Implement processes, systems, and equipment that ensure the quality, reliability, and system safety of company or procured products and services
  • Provides quality system analysis to validate the integrity of quality decisions that affect products and services
  • Analyzes contractual, product definition, and specification requirements
  • Tests products, processes, equipment, and measurement systems
  • Ensures that resulting processes provide for configuration management
  • Participates in design and product reviews to ensure that producibility, inspectability, reliability, safety, Quality System integrity, and business process management objectives are met
  • Supports the implementation of corrective actions that are necessary to reduce or eliminate nonconformance to design specifications
  • Interfaces with company employees, suppliers, customers, and regulatory agencies to ensure compliance with contractual, company, and regulatory requirements
  • Uses statistical methodologies to ensure that specified levels of safety, reliability, and process capability are achieved, maintained, or improved

Requirements

  • Responsible for the quality interface between the customer and manufacturing for defect resolution and reduction
  • Perform root cause problem solving by leading multiple, simultaneous cross-functional teams that include plant Operations, Quality, Engineering, Sourcing and Program
  • Follow and track all actions to satisfactory completion and collection of objective evidence
  • Communicate status and ensure timely completion of manufacturing RCCAs
  • Serve as subject matter expert for Quality Engineering problem-solving tools
  • Design, program and implement a fully functional RCCA application
  • 7-10 years of relevant experience
  • Bachelor's Degree is preferred