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Freelance Data Analyst R Programming Jobs in Ohio

Ferroglobe

Business Data Analyst

Marietta, OH · On-site

$95K - $110K/yr

Experience in programming languages such as Python, R, and SQL. * Proficiency with data ... Familiarity with ETL tools and data analysis techniques. * Solid understanding of statistics and ...

FirstEnergy

Senior Data Analyst

Akron, OH

$111K - $157K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Proficiency in programming languages such as Python, R, or SQL. FirstEnergy takes a market-based ...

centralins

Data Analyst

Dublin, OH · Hybrid

Partner with IT, data engineering, and other BI organizations to advance data & analytical capabilities throughout the enterprise * Analyze and validate financial data; identify trends, discrepancies ...

centralins

Data Analyst

Van Wert, OH · Hybrid

Partner with IT, data engineering, and other BI organizations to advance data & analytical capabilities throughout the enterprise * Analyze and validate financial data; identify trends, discrepancies ...

Mindlance

Data Analyst

Columbus, OH

This role will focus on analyzing identity data, delivering actionable insights, and building ... Engineering & Integration Connect to and extract data from various structured data sources (e.g ...

FirstEnergy Corp.

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/yr

This position will analyze complex business needs related to C&DS project data and answer critical ... Proficiency in programming languages such as Python, R, or SQL. FirstEnergy takes a market-based ...

Collabera

Data Analyst

Hilliard, OH · On-site

... R or SAS required. Experience with Oracle or Teradata database desired Prior experience in a data analytics role strongly preferred Knowledge of statistical methods required Education BS in ...

Lynch Consultants, LLC

Junior Data Analyst

Dayton, OH · On-site

$59K - $63K/yr

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

Lynch Consultants, LLC

Junior Data Analyst

Dayton, OH · On-site

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

Munich Re

Principal Technical Data Analyst

Amelia, OH · On-site

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform ... Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling ...

Munich Re

Principal Technical Data Analyst

Amelia, OH · Remote

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform ... Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling ...

American Electric Power

Data Analyst

New Albany, OH · On-site

$63K - $79K/yr

... data for metrics and reporting * Develop a strong working knowledge of analytics platforms ... Associate's degree in mathematics, statistics, operations research, engineering, business, or a ...

Aep

Data Analyst

New Albany, OH

$63K - $79K/yr

... data for metrics and reporting * Develop a strong working knowledge of analytics platforms ... Associate's degree in mathematics, statistics, operations research, engineering, business, or a ...

Further

Data Science Analyst

Cleveland, OH · On-site

... with engineers to ensure data accuracy and data pipelines are quality-checked before being ... R and/or Python for data manipulation and statistical analysis. • Deep understanding of ...

DPDHL

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

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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.
What are the most commonly searched types of Data Analyst R Programming jobs in Ohio? The most popular types of Data Analyst R Programming jobs in Ohio are:
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What job categories do people searching Freelance Data Analyst R Programming jobs in Ohio look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Ohio are:
What cities in Ohio are hiring for Freelance Data Analyst R Programming jobs? Cities in Ohio with the most Freelance Data Analyst R Programming job openings:
Freelance Data Analyst R Programming jobs near you

Business Data Analyst

Ferroglobe

Marietta, OH • On-site

$95K - $110K/yr

Full-time

Posted 20 days ago

Job description

Who we are:

Ferroglobe is one of the world’s leading suppliers of silicon metal, silicon-based and manganese-based specialty alloys and ferroalloys, serving a customer base across the globe in dynamic and fast-growing end markets, such as solar, automotive, consumer products, construction and energy.

Learn more about our Transformation Story here: Who we are


Position Summary:

We are looking for a highly motivated Data/Business Analyst to join our team and help drive data-informed decision-making across the organization. The ideal candidate is both technically skilled and business-savvy, with a passion for transforming data into insights that drive strategic outcomes.


Key Responsibilities:

  • Data Source Monitoring. Ensure the correct execution of data loading processes from various sources, maintaining data quality, integrity, and availability.
  • Processing and Integrating New Data Sources. Evaluate new datasets that can add value to the business, defining storage structures and integration mechanisms to incorporate them into the existing data ecosystem in a clean, scalable, and organized manner.
  • Report Design and Implementation. Gather functional requirements from different business units to design and implement reports that enhance operational management and decision-making. Strong skills in developing clear and effective data visualizations are highly valued.
  • Predictive Modeling and Exploratory Analysis. Apply statistical and machine learning techniques to build predictive models and conduct exploratory analysis to identify patterns, detect anomalies, and uncover insights that support business strategies.
  • Ethical Data Management. Ensure compliance with data privacy and security regulations. Promote a culture of responsible data use across teams by educating colleagues on best practices for handling reports and sensitive information.

Qualifications

Technical Skills:

  • Experience in programming languages such as Python, R, and SQL.
  • Proficiency with data visualization tools like Power BI and Tableau.
  • Knowledge of relational and non-relational database engines, and data modeling principles.
  • Familiarity with ETL tools and data analysis techniques.
  • Solid understanding of statistics and machine learning for predictive modeling.

Soft Skills:

  • Problem-solving and critical thinking skills. The ability to face challenges, evaluate the validity of processes and processed information, and continuously identify opportunities to improve data quality, reporting, and analytical processes is a must.
  • Communication, storytelling and collaboration skills. Working with other departments will be key to understanding their information needs and capturing requirements to provide clear and relevant reports.
  • Attention to detail. It is crucial to ensure the accuracy and quality of data, as well as the identification of errors and validation of results.
Preferred Qualifications:
  • A degree in Computer Science, Statistics, Economics, Business or a related field is preferred.
  • 2+ year of experience in similar role.
  • Master’s degree in data science or similar is a plus.
  • English and Spanish is a must, French is a plus.
  • Proven experience in a data analyst or similar role.
  • Solid understanding of machine learning concepts and hands-on experience with predictive modeling.

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