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Freelance Data Analyst R Programming Jobs in Oxford, AL

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Freelance Data Analyst R Programming information

See Oxford, AL salary details

$27.3K

$66.4K

$109.3K

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

As of Aug 8, 2026, the average yearly pay for freelance data analyst r programming in Oxford, AL is $66,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,200.00 and $77,900.00 per year, depending on experience, location, and employer.

Is it possible to freelance as a data analyst?

Freelance data analysts, including those skilled in R programming, can work independently by offering services such as data cleaning, analysis, and visualization to clients. Success depends on building a strong portfolio, having proficiency in tools like R and SQL, and establishing reliable communication and project management skills.

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.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field for its extensive package ecosystem and open-source nature, making it a valuable skill for data analysts to have. Proficiency in R can enhance a data analyst's ability to interpret data and generate insights efficiently.

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?

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 with 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 cities near Oxford, AL are hiring for Freelance Data Analyst R Programming jobs? Cities near Oxford, AL with the most Freelance Data Analyst R Programming job openings:
Freelance Data Analyst R Programming jobs near you
Infographic showing various Freelance Data Analyst R Programming job openings in Oxford, AL as of June 2026, with employment types broken down into 3% Internship, 6% As Needed, 32% Full Time, 40% Part Time, 6% Temporary, and 13% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $66,400 per year, or $31.9 per hour.

Process Engineer

50010 HM Southeast Cement LLC

Lincoln, AL • On-site

$77K - $102K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Line of Business: Cement & White

About Us

Heidelberg Materials is one of the world's largest suppliers of building materials. Heidelberg Materials North America operates over 450 locations across the U.S. and Canada with approximately 9,000 employees.
 

What You'll Be Doing

  • Optimize cement manufacturing processes to improve production efficiency, quality, and cost performance.
  • Analyze process data and identify opportunities for continuous improvement and operational excellence.
  • Collaborate with plant operations, maintenance, and quality teams to troubleshoot process challenges and implement solutions.
  • Support environmental, health, and safety initiatives while ensuring compliance with operational standards.
  • Lead and participate in projects focused on process upgrades, reliability improvements, and performance enhancements.
     

What Are We Looking For

  • Bachelor's degree in Chemical Engineering, Mechanical Engineering, Materials Science, or a related technical discipline.
  • Demonstrated ability to analyze complex process data, identify root causes, and implement effective solutions.
  • Strong knowledge of cement manufacturing processes, process control systems, and continuous improvement methodologies.
  • Effective communication and collaboration skills with the ability to work across multiple teams and functions.
  • Commitment to safety, quality, operational excellence, and achieving business objectives.
     

Work Environment

  • Primarily based in a cement manufacturing facility with regular exposure to industrial equipment and production areas.
  • Frequent interaction with operations, maintenance, quality, and leadership teams.
  • May require travel to other company locations, project sites, or training opportunities.
  • Must be able to work in an active industrial environment and comply with all safety requirements and personal protective equipment (PPE) standards.
     

What We Offer

  • Competitive base salary, $77,180 to $102,900, and participation in our annual incentive plan.
  • 401(k) retirement savings plan with an automatic company contribution as well as matching contributions.
  • Highly competitive benefits programs, including:
    • Medical, Dental, and Vision along with Prescription Drug Benefits
    • Health Saving Savings Account (HSA), Health Reimbursement Account (HRA) and Flexible Spending Account (FSA)
    • AD&D, Short- and Long-Term Disability Coverage as well as Basic Life Insurance
    • Paid Bonding Leave, 15 days of Paid Vacation, 40 hours of Paid Sick Leave and 10 Paid Holidays
       

Equal Opportunity Employer - Minority / Female / Veteran / Disabled

As part of our hiring process, we may use AI-assisted tools to support the screening and evaluation of candidate applications and interviews. These tools help streamline the initial assessment, but all decisions about candidate advancement are made by human recruiters and hiring managers. While technology supports early steps, every interview will be handled by experienced recruiters and hiring managers to provide a personal touch.

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