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Freelance Data Analyst R Programming Jobs in Kinston, NC

Data Scientist

Kinston, NC ยท Hybrid

$117K - $146K/yr

... data analytics, or equivalent * Proficiency in at least one advanced programming language such as Python, R, MATLAB, or SAS * Hands-on experience developing software in a collaborative team ...

The Program Data Analyst supports program execution within the Aero Systems division by collecting ... Bachelor's degree in Business Administration, Project Management, Finance, Engineering, or a ...

The Program Data Analyst supports program execution within the Aero Systems division by collecting ... Bachelor's degree inBusiness Administration, Project Management, Finance, Engineering, or a related ...

Digital Analyst Internships

Greenville, NC ยท On-site

$88K - $104K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

Senior Resource Planning Analyst

Kinston, NC ยท Hybrid

$105K - $135K/yr

Respond to data and information requests from regional and national reliability organizations, as ... one programming language (e.g., Python, R, MATLAB, or SAS); This employer will not sponsor ...

Senior Resource Planning Analyst

Kinston, NC ยท Hybrid

$105K - $135K/yr

Respond to data and information requests from regional and national reliability organizations, as ... one programming language (e.g., Python, R, MATLAB, or SAS); This employer will not sponsor ...

R&D Analyst/Engineer

Kinston, NC ยท 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 ...

R&D Analyst/Engineer

Kinston, NC ยท 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 ...

Quality Engineer

Kinston, NC ยท 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 ...

This position serves as a key business partner to Operations, Supply Chain, Engineering, and ... Assistwith data governance activities including item masters, bills of material, routings, labor ...

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

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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 Jun 27, 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.

How much do freelance data analysts make?

Freelance data analysts using R programming typically earn between $25 and $100 per hour, depending on experience, project complexity, and client budget. Annual income varies widely but can range from $50,000 to over $100,000 for experienced professionals working on multiple projects or consulting contracts.

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.

Are R programmers in demand?

R programmers, including freelance data analysts skilled in R programming, are in high demand due to the growing need for data analysis, statistical modeling, and data visualization across industries. Proficiency in R, along with skills in data manipulation and reporting, increases job opportunities in analytics and research roles.

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 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.

Can I do freelancing as a data analyst?

Freelance data analysts, including those skilled in R programming, can work independently by offering data analysis, visualization, and reporting services to clients. Success depends on building a strong portfolio, having proficiency in tools like R and SQL, and managing client relationships and deadlines. Many freelancers find opportunities through online platforms and networking.

Does R programming pay well?

Freelance data analysts skilled in R programming can earn competitive rates, especially with expertise in statistical analysis, data visualization, and proficiency in tools like RStudio. Earnings vary based on experience, project complexity, and client industry, but experienced freelancers often command higher pay in the data analysis field.

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 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:

Data Scientist

isone

Kinston, NC โ€ข Hybrid

$117K - $146K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

New technologies and the New England regionโ€™s economy-wide decarbonization efforts are driving a profound transformation in the work of the Forecast Group within System Planning. Responsible for analytics and predictive modeling of the regionโ€™s electricity demand across all timescalesโ€”spanning both short-term and long-term time horizonsโ€”the Forecast Group is innovating and redesigning its forecasting methods, software, and tools to meet changing trends in how retail customers procure, manage and use electricity.ย 

This role requires a self-starter with demonstrated ability to work seamlessly both unsupervised and in a fast-paced, collaborative team environment. This position will be focused on long-term forecasting, with potential opportunities to work in long-range forecasting as well. The candidate will have an opportunity to lead the teamโ€™s development of next generation forecasting tools that are integral to the planning and operation of the future grid.ย ย 

What we offer you:

  • A stable, mission-driven workplace where your impact truly matters
  • A highly engaged work environment that values inclusion, collaboration, and employee safety and wellbeing
  • Competitive compensation with a base salary + performance bonus
  • Robust benefits package, including:
    • Enhanced 401(k) and financial planning support
    • Tuition reimbursement and professional development
    • Wellness programs, including an onsite gym
    • Flexible work hours
    • Employee Business Networksย 
    • Onsite luncheon spaces with free coffee and a variety of dining options
  • Hybrid work environment (3 days/week onsite)
  • Distance-based relocation assistance available

How you will make an Impact

  • Work independently and collaboratively on analytical, programming, modelling, and data management activities
  • Map out and document problem statements, project requirements and associated workflows in pursuit of efficient and effective solutions
  • Leverage a curious mindset, initiative, and โ€œelbow greaseโ€ to enhance existing processes, and to innovate new forecasting methods, tools, and software
  • Communicate complex, technical content to a diverse audience through written reports and presentations
  • Apply a persistent drive for quality results to lead the development of data pipelines, reusable software packages and visualizations
  • Stay current with forecasting research and industry best practices; evaluate and implement relevant approaches strategically

What we are looking for

  • Bachelorโ€™s degree in Economics, Mathematics, Engineering, Operations Research, or a related fieldย 
  • 3+ years of experience in the energy industry in forecasting, data analytics, or equivalent
  • Proficiency in at least one advanced programming language such as Python, R, MATLAB, or SAS
  • Hands-on experience developing software in a collaborative team environment
  • Experience working with big data, geospatial analytics, and/or probabilistic forecasting
  • Experience building applications that ingest and use data from multiple sources and formats (i.e., data wrangling/data munging).
  • 5+ years of relevant experience is required to be considered for a senior-level position. 7+ years of relevant experience is required to be considered for a lead-level position.
  • Excellent written and verbal communication skills
  • Desired but not required:
    • Experience in electricity consumption modelling or economic modelling in the energy sector
    • Knowledge about distributed energy resources (e.g. photovoltaics, batteries), electric vehicles, and/or cold-climate heat pumps

This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.).

The expected salary range for the Associate to Mid-Level is $86,000 - $120,000 per year. We will also consider a Senior or Lead. The pay range for the Senior to Lead level is $117,000 - $146,000 annually. This role is also eligible for an annual performance bonus, comprehensive health insurance (medical, dental and vision), flexible spending and health savings accounts, a 401(k) plan with generous employer contributions and a student debt benefit, life and AD&D insurance, disability insurance, critical illness and hospital indemnity benefits, paid time off, paid leave, a wellness program, an employee assistance program and other great company perks.

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