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Remote Data Analyst R Programming Jobs in Charleston, SC

CSS, Inc

Economist

Charleston, SC · On-site +1

The successful candidates will develop, analyze, and communicate economic data and trends in ... Locations vary, but most positions allow for a fully remote work schedule. Specific ...

KBR

Cybersecurity RMF Analyst

North Charleston, SC · Remote

$129K - $194K/yr

KBR's Mission Engineering Division delivers complex technical solutions and expert support to the U ... With a strong ethical framework, KBR prioritizes data security, privacy, and responsible ...

CenterWell Primary Care

Senior BI Engineer

Charleston, SC · On-site +1

$99K - $136K/yr

Experience analyzing data to solve different business problems and create data visualizations that ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

DataAnnotation

SDLC Engineer - AI Trainer

Charleston, SC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

Kundlas Consulting Group LLC

Hydrologist

Charleston, SC · Remote

Collect, analyze, and interpret hydrologic, meteorological, groundwater, and surface water data for ... Coordinate with engineers, geologists, environmental scientists, project managers, and regulatory ...

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All JobsData Analyst R Programming JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in Charleston, SC

Remote Data Analyst R Programming information

See Charleston, SC salary details

$31.8K

$77.3K

$127.3K

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

As of Jul 8, 2026, the average yearly pay for remote data analyst r programming in Charleston, SC is $77,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $90,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

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 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 popular job titles related to Remote Data Analyst R Programming jobs in Charleston, SC? For Remote Data Analyst R Programming jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Charleston, SC look for? The top searched job categories for Remote Data Analyst R Programming jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Remote Data Analyst R Programming jobs? Cities near Charleston, SC with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you
Infographic showing various Remote Data Analyst R Programming job openings in Charleston, SC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $77,336 per year, or $37.2 per hour.
Economist

Economist

CSS, Inc

Charleston, SC • On-site, Remote

Full-time

Posted 6 hours ago

Job description

CSS-Inc. may have multiple openings for Economists to support NOAA's Office for Coastal Management (OCM). The successful candidates will develop, analyze, and communicate economic data and trends in support of national, state, and local coastal and natural resource conservation and management planning and initiatives.

The role is contingent upon CSS winning the contract, please note it can take several months before we know whether this role will be filled.

Locations vary, but most positions allow for a fully remote work schedule.


Specific responsibilities and tasks will include:

  • Conduct economic research using standard methods, including surveys and other data collection methodology, assessment of reliability and validity of data, and data analysis.
  • Conduct QA/QC of economic models and data.
  • Contribute to or develop economic simulations, e.g., for policy and impact analyses, and financial analyses.
  • May plan and design coastal and marine economic research, including gathering new data and developing new approaches.
  • May analyze and evaluate modeling and data developed by others.
  • Support and/or lead communication, training, facilitation, and outreach efforts.
  • Communicate and present information on technical products and services to technical and non-technical audiences.
  • Develop materials (reports, presentations, brochures) to convey economic information.
  • Provide timely, accurate, and relevant economic data and information to partners and the interested public via web pages and other relevant portals.
  • Contribute to and/or lead economics trainings for partners and the public on gathering economic indicator data and understanding and doing economic analyses.

Qualifications

  • Master's degree in economics, resource economics, or other relevant field.
  • 0-4+ years of relevant professional experience conducting economic research.
  • The successful candidate will be organized, detail-oriented, manage time to achieve project objectives to meet deadlines, and work both independently and collaboratively as part of a team.
  • Knowledge of coastal and marine economy estimation methods domestically and internationally preferred.
  • Knowledge of R, SAS, and/or Python preferred.
  • Ability to pass a National Agency Check and fingerprinting background check and maintain it through the duration of employment.


At CSS, we are committed to fostering an inclusive and merit-based workplace. We provide equal employment opportunities to all individuals, ensuring that hiring and employment decisions are based on qualifications, skills, and performance. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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