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Freelance Data Analyst R Programming Jobs in Irmo, SC

Digital Data Analyst serves as a strategic partner in transforming data into actionable insights ... Knowledge of programming languages across various software platforms, using DB2, SQL, and/or ...

Data Science Tutor

Columbia, SC · 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 ...

Data Strategy-Manager

Columbia, SC · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Architect

Columbia, SC

$59 - $75.75/hr

Proven working experience as a data analyst or business data analyst Technical expertise regarding ... programming (xml, Javascript, or ETL frameworks) Knowledge of statistics and experience using ...

Data Architect

Columbia, SC

$59 - $75.75/hr

INTERPRET DATA, ANALYZE RESULTS USING STATISTICAL TECHNIQUES AND PROVIDE ONGOING REPORTS DEVELOP ... PROGRAMMING (XML, JAVASCRIPT, OR ETL FRAMEWORKS) KNOWLEDGE OF STATISTICS AND EXPERIENCE USING ...

Data Governance- Manager

Columbia, SC · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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Freelance Data Analyst R Programming information

See Irmo, SC salary details

$27.8K

$67.5K

$111.1K

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

As of Jul 9, 2026, the average yearly pay for freelance data analyst r programming in Irmo, SC is $67,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $79,200.00 per year, depending on experience, location, and employer.

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 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.

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 job categories do people searching Freelance Data Analyst R Programming jobs in Irmo, SC look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Irmo, SC are:
What cities near Irmo, SC are hiring for Freelance Data Analyst R Programming jobs? Cities near Irmo, SC with the most Freelance Data Analyst R Programming job openings:
Data Analyst

Other

Posted 1 hour ago


Job description

Title: Data Analyst III
Location; Columbia, SC (Onsite 3x per week)
Duration: 12 months
Duties:

  • Day to day:
    • There is a development and recurring or operational focus for the analyst.
    • The development work is consultative, customer-facing, and requires understanding I/S business processes.
    • Work involves facilitating meetings, gathering and documenting requirements, interacting with management and multiple teams to complete work, designing and developing a solution, and presenting outcomes to customers.
    • This work requires a technical focus as well as a business perspective and consultative mindset.
    • The recurring or operational work is recurring, repeatable tasks and includes one-time ad-hoc requests.
    • Recurring reports and data entry are well defined and are as automated as possible.
    • Recurring work is reviewed annually at a minimum to ensure it continues to meet business needs.
    • This work requires knowledge of reporting and data tools and communication with customers.
    • The operations focuses on timeliness, accuracy, consistency, and providing the key customer insights and analysis to help with business needs and decisions
  • Creates and analyzes reports to support operations.
  • Ensures correctness of analysis, and reports findings in a concise manner to senior management.
  • Directly responsible for accuracy of data as financial and operational decisions are made based on the data provided.
  • 30% Generates internal and external reports to support management in determining productivity and efficiencies of programs or operational processes.
  • Revises existing reports and develops new reports based on changing methodologies.
  • 30% Analyzes reports to ensure accuracy and quality. Tracks and verifies all reporting statistics.
  • 20% Communicates and trains employees and managers on the complex database programs used to generate analytical data.
  • 20% Designs, codes, and maintains complex database programs for the extraction and analysis of data to support financial and operational decisions.

Required Technologies:

  • Strong SQL knowledge
  • PowerBI
  • Microsoft Excel

Preferred Technologies:

  • Tableau
  • Power Automate
  • Python
  • GitHub
  • MS Access

Required Education:

  • Bachelor''s degree in Statistics, Computer Science, Mathematics, Business, Healthcare, or other related field. Degree Equivalency: 2 year degree in Computer Science, Business or related field and 2 years of reporting and data analysis work experience. OR 4 years reporting and data analysis experience.

Required Work Experience:

  • 4 Years Research and analysis experience.

Preferred Work Experience:

  • 6 Years-Research and analysis experience.

Required Skills and Abilities:

  • Strong organizational, customer service, communications, and analytical skills.
  • Advanced experience using complex mathematical calculations and understand mathematical and statistical concepts.
  • Knowledge of relevant computer support systems.
  • Ability to train subordinate staff including provide assistance/guidance to staff in design/execution of reporting needs.
  • Proven experience with report writing and technical requirements analysis, data and business process modeling/mapping, and methodology development.
  • Strong understanding of relational database structures, theories, principles, and practices.

Required Software and Other Tools:

  • Advanced knowledge of Microsoft Office.
  • Knowledge of programming languages across various software platforms, using DB2, SQL, and/or relational databases.
  • Knowledge of tools such as Visual Basic and Macros useful in automating reporting processes.

Preferred Skills and Abilities:

  • Computer programming skills
  • Negotiation or persuasion skills.
  • Knowledge of ICD9/CPT4 coding.
  • Knowledge of the healthcare delivery system.

Preferred Software and Other Tools:

  • SAS experience.

Work environment:

  • Typical office environment.
  • Some travel between buildings and out of town.