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Freelance Data Analyst R Programming Jobs in North Carolina

Data Analyst

NC · On-site +1

... programming languages (e.g. Looker, Power BI, QuickSight, BigQuery, Azure Synapse, Python, R, or ... Power BI Data Analyst Associate Compensation: The compensation range for the position in the U.S ...

... data analysis tools and programming languages (e.g. Looker, Power BI, QuickSight, BigQuery, Azure Synapse, Python, R, or SQL) Professional certification, e.g., ASQ Six Sigma Cloud platform ...

$81K - $95K/yr

Write clean, efficient, and production-ready SQL (Amazon Redshift, Oracle SQL Developer) * Utilize ... Proficiency in Python or R for data analysis * Experience with automation tools and scheduling ...

Write clean, efficient, and production-ready SQL (Amazon Redshift, Oracle SQL Developer) * Utilize ... Proficiency in Python or R for data analysis * Experience with automation tools and scheduling ...

Programming PK/PD analyses: * Writing R or Rmarkdown code to perform descriptive analysis of PK/PD data and statistical analysis of exposure-response relationships. * Data visualization: * Creating ...

Principal R Programmer

Durham, NC · On-site

$98K - $273K/yr

Programming PK/PD analyses: * Writing R or Rmarkdown code to perform descriptive analysis of PK/PD data and statistical analysis of exposure-response relationships. * Data visualization: * Creating ...

Programming PK/PD analyses: * Writing R or Rmarkdown code to perform descriptive analysis of PK/PD data and statistical analysis of exposure-response relationships. * Data visualization: * Creating ...

Python * Additional programming in Java, R Education: Degree or equivalent exp. Responsibilities: * Partner with product owners, product managers, data engineers, and business stakeholders to ...

New

Data Analyst

Concord, NC

$102K - $138K/yr

Data Science and Data Engineering Job Qualifications: Skills: Azure Devops, Microsoft Business Intelligence (BI), Qlik Cloud Analytics, Scrum (Agile) Certifications: None Experience: 3 + years of ...

New

Be Seen First

Data Engineer

Durham, NC · On-site

$57 - $63/hr

Strong experience using the R programming language. * Experience designing and maintaining database ... Strong analytical, problem-solving, and technical communication skills. Preferred Qualifications

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis. * Partner with data engineering teams to ensure high-quality, well-structured, and ...

Data Analyst

Greensboro, NC · On-site

$50 - $53/hr

Working knowledge of Python, R Studio or other data tools is a plus. * Experience with ERP and ... Bachelor's degree in Analytics, Finance, Economics or related field. * Experience in data-driven ...

Working knowledge of Python, R Studio or other data tools is a plus. * Experience with ERP and ... Bachelor's degree in Analytics, Finance, Economics or related field. * Experience in data-driven ...

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Freelance Data Analyst R Programming information

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.
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Posted 23 days ago


Job description

We are seeking a highly experienced Senior Statistical Programmer / Clinical Data Architect with 15+ years of expertise in clinical data programming, CDISC standards, and cloud-based analytics platforms. The ideal candidate will lead end-to-end clinical data workflows, regulatory submissions, and modern data platform transformations in GxP-regulated environments.

This role requires strong domain expertise in SDTM, ADaM, regulatory submissions, and SAS/Python/R programming, combined with experience in cloud platforms (AWS/Azure) and clinical data modernization initiatives.