1

Freelance Data Analyst R Programming Jobs in Mayfield Heights, OH

Strong command of R and/or Python for data manipulation and statistical analysis. * Deep ... Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked ...

Experience utilizing SQL and/or analytical programming languages (Python, SAS, R, or equivalent) to query, analyze, and transform data. * Experience developing data visualizations, dashboards, and ...

Senior Data Analyst

Brooklyn, OH · On-site

$80K - $101K/yr

Education * Bachelor's Degree in Data Analytics, Business, Finance, Economics, Engineering, Computer Science, MIS, Statistics, or a related field (preferred) * Master's Degree or equivalent ...

Senior Data Analyst

Brooklyn, OH · On-site

$80K - $101K/yr

Education * Bachelor's Degree in Data Analytics, Business, Finance, Economics, Engineering, Computer Science, MIS, Statistics, or a related field (preferred) * Master's Degree or equivalent ...

Data Science Tutor

Cleveland, OH · 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

Cleveland, OH · 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 ...

next page

Showing results 1-20

Freelance Data Analyst R Programming information

See Mayfield Heights, OH salary details

$34.6K

$84.1K

$138.4K

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

As of Aug 4, 2026, the average yearly pay for freelance data analyst r programming in Mayfield Heights, OH is $84,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,700.00 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 job categories do people searching Freelance Data Analyst R Programming jobs in Mayfield Heights, OH look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Mayfield Heights, OH are:

Data Analyst

Ohio Machinery Company

Broadview Heights, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

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


Job description

Description
Find YOUR fit at Ohio Machinery Co.! Join a winning culture that strives to be the top-performing, dynamic industry leader and partner of choice for the products and solutions that help our customers build, improve, feed, power, and protect our world. Come grow your career - See what opportunities await today!
Summary:
The Data Analyst will play a vital role in transforming complex data into actionable insights, supporting informed decision-making across the organization. This role is responsible for evaluating dashboards and metrics, conducting training sessions to ensure effective utilization of data tools, and advocating for a data-driven culture. The Data Analyst will support and maintain data analysis systems, such as Power BI, and follow a structured business intelligence process to address specific business questions.
The ideal candidate will have strong analytical skills, technical expertise in data visualization platforms, and excellent communication abilities to effectively share insights with both technical and non-technical stakeholders.
Essential Functions and Responsibilities:
  • Evaluate Dashboards and Metrics: Assess the accuracy, clarity, and relevance of dashboards and key performance indicators to ensure alignment with business objectives and decision-making needs.
  • Advocate for Dashboards: Promote the adoption and consistent use of dashboards across the organization, fostering a culture of data-driven decision-making.
  • Collaboration: Partner with team members, managers, and business stakeholders to gather requirements, clarify objectives, and deliver tailored data-driven solutions.
  • Training and Documentation: Develop, document, and deliver training plans and materials to ensure effective dashboard usage, administration, and data interpretation.
  • Continuous Development: Proactively expand knowledge of data warehouses, BI tools, enterprise applications, query languages, and organizational data structures to improve analytical outcomes.
  • System Support and Maintenance: Support and maintain data analysis platforms, including Power BI, ensuring system reliability, performance, and user accessibility.
  • Business Intelligence Analysis: Follow a structured BI process to address specific business questions, delivering statistical models, analytic reports, or clear data summaries.
  • Research and Insights Development: Conduct research on emerging data trends, best practices, and advanced analytics techniques to inform improvements in reporting and dashboard design.
  • Data Security and Compliance: Safeguard the integrity and security of enterprise data, adhering to best practices for privacy, security, and compliance with relevant regulations.

Minimum Skills and Qualifications:
  • Bachelor's degree in Data Analytics, Statistics, Computer Science, Business Intelligence, or equivalent work experience in a related field.
  • 4+ years of experience in business intelligence, data analysis, or a related role.
  • Experience supporting end-users, addressing inquiries, and resolving issues in a performance-driven environment.
  • Experience working with large datasets and data warehousing concepts.
  • Previous experience in a dealership, retail, or operational analytics environment is a plus.
  • Proficiency with Power BI, Excel, and other reporting tools.
  • Strong skills in data querying techniques and SQL.
  • Solid understanding of statistical analysis and data modeling.
  • Familiarity with programming languages such as Python or R is a plus.
  • Experience documenting and maintaining configuration settings and BI process documentation.
  • Excellent verbal and written communication skills.
  • Ability to translate complex data into clear, actionable insights for a non-technical audience.
  • Strong problem-solving abilities and attention to detail.
  • Exceptional time management skills and the ability to handle multiple tasks simultaneously.
  • Highly self-motivated and proactive, with a strong attention to detail.
  • Adaptability and eagerness to learn new technologies and reporting tools.
  • Familiarity with Agile project management methodologies.

Employee Benefits:
  • 401(k): Match and employer discretionary contribution.
  • Health Insurance: Two options are available, including an HSA with a dollar-for-dollar match of up to $1,200 per year.
  • Dental & Vision Insurance: Comprehensive coverage options.
  • Financial Access: Credit Union membership is available.
  • Insurance: Life Insurance, Short-Term Disability, and Long-Term Disability coverage.
  • Educational Opportunities: Scholarships for employees' spouses and children through the Ohio Machinery Education and Opportunity Foundation.
  • Compensation: Base pay, annual bonus potential, and company success share bonuses.

Physical Requirements:
  • Sitting for extended periods of time.
  • Dexterity of hands and fingers to operate a computer keyboard, mouse, power tools, and to handle other computer components.
  • Lifting and transporting of moderately heavy objects, such as computers and peripherals.

EEO, Veterans & Disabled Employer and VEVRAA/503 Federal Contractor