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Freelance Data Analyst R Programming Jobs in Oklahoma

DATA ANALYST POSITION SUMMARY THIS POSITION IS IN STATE, IN OKLAHOMA CITY. IT IS NOT A REMOTE ... This position reports directly to the Senior Business Intelligence Engineer and supports the ...

You'll report directly to our Director of Data Engineering and Advanced Analytics and play a hands-on role in shaping how a leading electrical contractor turns data into a competitive advantage. WHAT ...

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 Science Tutor

Stillwater, OK · 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 ...

Contract Data Analyst

Tulsa, OK · On-site

$59K - $72K/yr

Contract Data Analyst Location: Tulsa, OK Description Responsible for analysis of contracts and ... Builds programing and performs ongoing analysis, which maintains the integrity of financial ...

Data Science Tutor

Tulsa, OK · 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 ...

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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 Oklahoma? The most popular types of Data Analyst R Programming jobs in Oklahoma are:
What are popular job titles related to Freelance Data Analyst R Programming jobs in Oklahoma? For Freelance Data Analyst R Programming jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Freelance Data Analyst R Programming jobs in Oklahoma look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Oklahoma are:
What cities in Oklahoma are hiring for Freelance Data Analyst R Programming jobs? Cities in Oklahoma with the most Freelance Data Analyst R Programming job openings:
Workforce Data Analyst

Other

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Love's Travel Stops rating

5.8

Company rating: 5.8 out of 10

Based on 776 frontline employees who took The Breakroom Quiz

424th of 717 rated retailers


Job description

Req ID: 473801  

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development *

Welcome to Love's: Love's is seeking a highly analytical and strategic Workforce Analyst to join our Workforce Management team. This role is ideal for someone who thrives at the intersection of HR, Operations and data, and who can turn workforce data into actionable insights that drive business decisions. In this role, you will work closely with HR, Operations, IT & Finance to optimize workforce planning, improve employee experience, and support strategic initiatives.

Job Functions: 

  • Analyze workforce data to identify trends, risks, and opportunities
  • Develop and maintain interactive dashboards and reports using visualization tools for HR, Operations and executive stakeholders
  • Design and implement data models to support scalable analytics solutions
  • Utilize engineered labor standards to help make informed decisions
  • Collaborate with cross-functional teams to define KPIs and build predictive models for attrition, hiring, and productivity
  • Automate data pipelines and reporting processes to improve efficiency and accuracy
  • Translate complex data findings into clear, actionable recommendations for leadership
  • Ensure data integrity, security, and compliance with relevant regulations and internal policy

 

Qualifications and Experience:

  • Bachelor's in Data Science, Statistics, Business Analytics, Computer Science, or related field
  • 2-3 years of experience in workforce analytics, HR data science, HRIS, UKG Pro Analyst, UKG Pro Reporting Analyst, HR data analyst, WFM analyst, or a related role
  • Hands-on experience with UKG Pro, including dataviews, data extraction and reporting
  • Proficiency in Power BI for data visualization and dashboard development
  • Strong SQL skills and experience working with Snowflake or similar cloud data platforms
  • Excellent communication skills with the ability to present insights to non-technical audiences
  • Knowledge of HR metrics, operations business function and expectations, workforce planning, and organizational behavior
  • Experience with Python or R for statistical analysis and machine learning
  • Familiarity with other HR systems
  • Understanding of compensation, benefits, and talent management data and how it ties into workforce panning and modelin

This position is located at Love's corporate office in Oklahoma City.

Must be authorized to work in the U.S. without sponsorship

Our Culture: 

Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture.

Love's is an Equal Opportunity Employer. Veterans encouraged to apply.


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