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Remote Data Analyst R Programming Jobs in Greenville, SC

Data Science Tutor

Greenville, SC ยท 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 ...

Reporting to the Manager, Distribution Engineering. This position is a remote position or is a ... Analysis Software (SpidaCalc, Pole Foreman, PLS-CADD)- Experience mentoring junior staff ...

... data analysis) * Support pricing activities by working with the Pricing Manager and/or Customer ... While this position is remote, it may include occasional work at a Wabtec office/site or attendance ...

Bachelor's degree in engineering, business or a related field from an accredited university or ... data analysis) * Support pricing activities by working with the Pricing Manager and/or Customer ...

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Remote Data Analyst R Programming information

See Greenville, SC salary details

$32K

$77.7K

$127.9K

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

As of Sep 7, 2026, the average yearly pay for remote data analyst r programming in Greenville, SC is $77,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $91,200.00 per year, depending on experience, location, and employer.

What is a remote data analyst r programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in R programming?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a remote data analyst specializing in r programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What are the most commonly searched types of Data Analyst R Programming jobs in Greenville, SC?

The most popular types of Data Analyst R Programming jobs in Greenville, SC are:

What are popular job titles related to Remote Data Analyst R Programming jobs in Greenville, SC?

For Remote Data Analyst R Programming jobs in Greenville, SC, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst R Programming jobs in Greenville, SC look for?

The top searched job categories for Remote Data Analyst R Programming jobs in Greenville, SC are:

What cities near Greenville, SC are hiring for Remote Data Analyst R Programming jobs?

Cities near Greenville, SC with the most Remote Data Analyst R Programming job openings:

Infographic showing various Remote Data Analyst R Programming job openings in Greenville, SC as of August 2026, with employment types broken down into 47% Full Time, 20% Part Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,706 per year, or $37.4 per hour.

Data Analyst - Logistics/Sourcing

Kelly Services

Greenville, SC โ€ข Remote

$24 - $26/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


Job description

Data Analyst – Logistics/Sourcing

Company: GE Vernova
Location: Remote
Schedule: Monday–Friday | 8:00 AM–5:00 PM EST

Pay: $24-$26/hr

Location Note: This position is fully remote. Candidates located within a reasonable distance of Greenville, SC or Schenectady, NY are preferred for occasional onsite meetings or conferences, but proximity is not required.

Position Overview

GE Vernova is seeking an experienced Data Analyst – Logistics/Sourcing to provide high-level analytical support to the Wind Outbound team. This role will use logistics, sourcing, and financial data to identify trends, control transportation costs, improve operational performance, and support strategic supply chain decisions.

The ideal candidate has strong analytical skills, advanced Excel expertise, and experience turning complex datasets into clear, actionable business insights.

Key Responsibilities
  • Market & Pricing Analysis: Monitor logistics market trends and transportation pricing. Develop forecasts, evaluate market competitiveness, and identify cost-saving opportunities.

  • Reporting & Dashboards: Create and maintain dashboards that track transportation costs, service performance, utilization, and savings. Prepare daily, weekly, monthly, and annual reports.

  • Cost-Benefit Analysis: Develop financial models and perform cost-benefit analyses to support transportation strategies and supply chain optimization initiatives.

  • Data Auditing & Accuracy: Review logistics data for accuracy, identify anomalies or discrepancies, and partner with internal teams to resolve issues.

  • Process Improvement: Identify opportunities to automate manual reporting and data processes to improve efficiency and accuracy.

  • Cross-Functional Collaboration: Work with internal teams to summarize project spend, evaluate logistics strategies, and communicate data-driven recommendations.

  • Budget & Strategic Planning: Provide analytical support for budgeting and assess the financial impact of operational and transportation changes.

Required Qualifications
  • 5+ years of experience in data analysis, supply chain reporting, financial analysis, or logistics analytics.

  • 2+ years of experience in logistics, supply chain, project management, or a related analytical field.

  • Advanced Microsoft Excel skills, including complex formulas, pivot tables, data analysis, and visualization.

  • Experience with data management and reporting tools; Access, SQL, and/or BI tools are preferred.

  • Strong written and verbal communication skills with the ability to present analytical findings to multiple levels of stakeholders.

  • Ability to manage large datasets while maintaining a high level of accuracy and attention to detail.

  • Fluent written and spoken English.

Preferred Qualifications
  • Bachelor’s degree in Finance, Accounting, Business Analytics, Supply Chain Management, or a related field.

  • Experience translating large and complex datasets into concise executive-level reports and recommendations.

  • Strong critical-thinking, analytical, and problem-solving abilities.

  • Ability to manage multiple priorities in a fast-paced environment.

  • Quick learner who can adapt to new reporting systems, software, and analytical tools.

  • Proactive approach to identifying data issues, process improvements, and cost-saving opportunities.

Ideal Candidate

You are a detail-oriented analyst who enjoys transforming data into meaningful business insights. You understand how logistics and transportation decisions impact costs and overall supply chain performance, and you can confidently communicate your findings to both technical and non-technical stakeholders.


As part of our promise to talent, Kelly supports those who work with us through a variety of benefits, perks, and work-related resources. Kelly offers eligible employees voluntary benefit plans including medical, dental, vision, telemedicine, term life, whole life, accident insurance, critical illness, a legal plan, and short-term disability. As a Kelly employee, you will have access to a retirement savings plan, service bonus and holiday pay plans (earn up to eight paid holidays per benefit year), and a transit spending account. In addition, employees are entitled to earn paid sick leave under the applicable state or local plan. Click here for more information on benefits and perks that may be available to you as a member of the Kelly Talent Community.

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