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Freelance Data Analyst R Programming Jobs in Oklahoma

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

... data reliability, and support new facility commissioning efforts. Success in this role requires close collaboration with field operations, production engineering, IT infrastructure teams, and other ...

... data reliability, and support new facility commissioning efforts. Success in this role requires close collaboration with field operations, production engineering, IT infrastructure teams, and other ...

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Freelance Data Analyst R Programming information

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.

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.

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:
Infographic showing various Freelance Data Analyst R Programming job openings in Oklahoma as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 85% Full Time, 7% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
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Re-posted yesterday


Love's Travel Stops rating

5.9

Company rating: 5.9 out of 10

Based on 780 frontline employees who took The Breakroom Quiz

396th of 727 rated retailers


Job description

Req ID: 484503  

This is an onsite role located in OKC. Applicants must be legally authorized to work in the United States. We do not provide sponsorship for employment visas now or in the future. 

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 the first of the month after 30 days * Competitive Pay * Career Development *  

Welcome to Love's: The Data Scientist plays a critical role in advancing Love's customer analytics capabilities by driving deep understanding of customer behavior, loyalty, and lifecycle dynamics. As part of Analytics team, this role develops advanced machine learning and analytical solutions that shape customer strategy and influence key business decisions across the organization.

Job Functions:

  • Drive Strategic Decision-Making through Customer Insights
    • Analyze customer behavior across channels to identify trends, patterns, and opportunities for growth
    • Develop and maintain customer segmentation and personas to support targeted strategies
    • Work closely with CX Research team to synthesize both qualitative and quantitative data
    • Provide insights into customer lifecycle dynamics, including acquisition, engagement, and retention
  • Develop Advanced Analytics Solutions
    • Design and deploy predictive models (forecasting, segmentation, optimization)
    • Utilize statistical languages (R, Python, SAS) to manipulate data and draw insights from large data sets
    • Apply statistical and machine learning techniques to solve complex business problems and improve targeting
    • Enable AI-driven workflows and scalable decision-support tools
    • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Enable Loyalty Marketing & Growth Strategies
    • Evaluate the performance and effectiveness of loyalty programs and promotional initiatives
    • Measure customer engagement, program adoption, and incremental impact on spend and visits
    • Generate recommendations to enhance program design and customer experience
  • Improve Efficiency Through Automation
    • Streamline and automate reporting and analytical workflows
    • Work with data engineering to build scalable data products that reduce manual effort and improve speed to insight
    • Support the creation and maintenance of a customer data platform to enable a unified customer view
    • Identify opportunities to apply AI across both new and existing work
  • Communicate Insights Clearly
    • Develop a deep understanding of Love's business, including products, customers, and performance drivers
    • Create compelling visualizations and presentations for cross-functional stakeholders
    • Deliver insights and recommendations in a clear, concise manner using meaningful visualizations that allows for business understanding and action

Experience and Qualifications:

  • BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields
  • 3+ years experience preferred in analytics, data science or related field
  • Experience with data analysis, statistical modeling, or machine learning

Skills and Physical Demands: 

  • Proficiency querying data from relational databases using SQL
  • Competency using R, Python, or other similar statistical software to develop analytical solutions
  • Experience with data wrangling, data cleaning and prep
  • Awareness of Big Data concepts, tools, and architecture
  • Data modelling and business analytics experience
  • Excel proficiency including simple formulas and pivot tables
  • Understanding of data warehouse principles and database structures
  • Ability to develop clear, impactful visualizations using Power BI, Tableau, or similar tools
  • Experience applying AI tools to improve efficiency, automation, and analytical output
  • Natural curiosity that welcomes and embraces change and willingness to try new things
  • Excellent written, oral and interpersonal skills
  • Ability to devise an analytical approach to solving business problems
  • Expertise in translating data into business insights and recommendations
  • Demonstrated ability to explain and simplify complex analytics for a wide range of audiences
  • Work effectively within a team-oriented and collaborative environment
  • Keen attention to detail
  • Highly motivated self-starter
  • Requires prolonged sitting, some bending and stooping
  • Occasional lifting up to 25 pounds
  • Manual dexterity sufficient to operate a computer keyboard and calculator
  • Requires normal range of hearing and vision
  • Travel required as needed
  • On-call availability

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

#LI-Onsite

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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