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Freelance Data Analyst R Programming Jobs in Chickasha, OK

Pwc

Data Engineer - Senior Manager

Oklahoma City, OK

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Addison Group

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

S. now and in the future without sponsorship We're partnering with a client on a direct-hire Data Engineering role supporting a growing analytics and data platform. This position is ideal for someone ...

Global Payments

Senior GTM Data Engineer

Oklahoma City, OK

$98K - $133K/yr

This role is integral to optimizing the data infrastructure that supports sales analytics, ensuring ... Experience with data science tools and techniques, such as R or Python, is a plus. At Global ...

DataAnnotation

Software Engineer Analyst

Norman, OK · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Danaher

Digital Analyst Internships

Oklahoma City, OK

$91K - $108K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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All JobsData Analyst R Programming JobsFreelance Data Analyst R Programming JobsFreelance Data Analyst R Programming Jobs in Chickasha, OK

Freelance Data Analyst R Programming information

See Chickasha, OK salary details

$27.6K

$67K

$110.3K

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

As of Jun 9, 2026, the average yearly pay for freelance data analyst r programming in Chickasha, OK is $67,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $78,700.00 per year, depending on experience, location, and employer.

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.
Freelance Data Analyst R Programming jobs near you
Infographic showing various Freelance Data Analyst R Programming job openings in Chickasha, OK as of May 2026, with employment types broken down into 59% Full Time, 32% Part Time, and 9% Nights. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $67,016 per year, or $32.2 per hour.
Enterprise Data Architect

Enterprise Data Architect

Love's Travel Stops and Country Stores

Oklahoma City, OK • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Love's Travel Stops rating

5.9

Company rating: 5.9 out of 10

Based on 767 frontline employees who took The Breakroom Quiz

389th of 713 rated retailers

Job description

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 Enterprise Data Architect is responsible for defining, governing, and advancing the organization’s enterprise data architecture across cloud and hybrid environments. This role establishes scalable, secure, and cost-efficient data foundations that enable enterprise analytics, AI-driven insights, and data-informed decision-making.

This role owns end-to-end data architecture, including ingestion, integration, modeling, transformation, and consumption across platforms such as Snowflake, dbt, HVR/Fivetran, SQL Server, SAP HANA, Power BI, and Sigma. The Enterprise Data Architect serves as the primary integration point across enterprise platforms, including SAP and Palantir.

Job Functions: 

Architecture & Strategy

  • Define and maintain enterprise data architecture and long-term roadmap aligned to business and operational priorities
  • Design scalable, secure, and high-performing data platforms across cloud and hybrid environments
  • Establish architectural standards, governance frameworks, and design patterns across the data lifecycle
  • Evaluate emerging technologies and drive continuous platform innovation

Data Platform & Engineering

  • Architect and optimize batch and real-time data ingestion and replication processes
  • Design and oversee transformation frameworks (e.g., dbt) to enable modular, testable, and reusable data models
  • Integrate data across SAP HANA, SAP Data Sphere, SQL Server, and SaaS platforms into governed environments
  • Lead modernization efforts from legacy systems to cloud-native architectures
  • Implement CI/CD and DevOps best practices for data pipelines and analytics workflows

Data Modeling & Performance

  • Develop and govern conceptual, logical, and physical data models
  • Apply dimensional and data vault modeling techniques to support enterprise analytics
  • Optimize platform performance, scalability, and cost efficiency, particularly within Snowflake environments

Analytics Enablement

  • Partner with BI teams to design semantic layers and curated datasets
  • Enable scalable analytics through tools such as Power BI and Sigma
  • Promote self-service analytics through strong data design, governance, and documentation standards
  • Optimize semantic models, aggregations, and query performance

Governance, Security & Quality

  • Establish and enforce data governance frameworks, including data quality, lineage, and metadata management
  • Implement secure, role-based access controls across platforms
  • Ensure compliance with internal policies and regulatory requirements

Leadership & Collaboration

  • Translate business and technical requirements into scalable data solutions
  • Lead architecture reviews and guide enterprise data initiatives
  • Mentor data engineers and analytics practitioners
  • Contribute to and support a Data & Analytics Center of Excellence (CoE)

AI & Innovation

  • Leverage AI and automation to improve data quality, pipeline efficiency, and analytics delivery
  • Identify and implement AI-driven capabilities across the data lifecycle
  • Promote a culture of innovation, experimentation, and continuous improvement

Experience and Qualifications: 

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s preferred)
  • 8+ years of experience in data architecture and/or data engineering
  • Experience designing, implementing, and scaling enterprise-grade data platforms
  • Experience with data governance, metadata management, and data quality frameworks
  • Experience implementing CI/CD and DevOps practices for data workflows
  • Snowflake or cloud platform certifications
  • Experience in large, complex, or multi-entity organizations
  • Experience establishing or contributing to a Data & Analytics CoE

Skills and Physical Demands: 

  • Advanced SQL and data modeling (dimensional, normalized, data vault)
  • Expertise in cloud data platforms (e.g., Snowflake or similar)
  • Data integration tools (e.g., HVR, Fivetran, or equivalent)
  • Data transformation frameworks (dbt preferred)
  • Business intelligence tools (Power BI, Sigma, or similar)
  • Data architecture across hybrid cloud and on-prem environments
  • API-based integrations and/or streaming data architectures
  • ERP data integration experience (e.g., SAP HANA, SAP Data Sphere)
  • Data governance, lineage, and metadata management tools
  • CI/CD pipelines and DevOps practices for data engineering
  • Strong stakeholder engagement and partnership skills
  • Ability to communicate complex technical concepts to non-technical audiences
  • Collaboration across cross-functional and technical teams
  • Adaptability in a fast-paced, evolving technology environment
  • Mentorship and team development capabilities

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.

What Love's Travel Stops employees say

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