1

Freelance Data Analyst R Programming Jobs in Oklahoma

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Minimum 3 years in an analytical role (e.g., operations analyst, data analyst, process engineer, reliability engineer). * Proficient in SQL and Python, including pandas, notebook environments, and ...

AI Analyst

Tulsa, OK · On-site

Minimum 3 years in an analytical role (e.g., operations analyst, data analyst, process engineer, reliability engineer). * Proficient in SQL and Python, including pandas, notebook environments, and ...

Showing results 21-40

Freelance Data Analyst R Programming information

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 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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Contract & Data Analyst (Managed Care)

i4 Search Group Healthcare

Tulsa, OK

$68K - $98K/yr

Full-time

Re-posted 7 days ago


Job description

Contract & Data Analyst (Managed Care)

Direct Hire | Full-Time | Onsite

Schedule: Monday – Friday, 8:00 AM – 5:00 PM

Compensation: $68,000 – $98,000


Experience with health plan insurance contracting and reimbursement for providers and facilities required



Position Overview

We are seeking a highly analytical Contract & Data Analyst with experience in managed care and provider reimbursement. This role is responsible for contract analysis, financial modeling, Epic build testing, and supporting managed care negotiations.


The ideal candidate will bring strong financial and technical expertise, experience working with health plan contracts, and the ability to translate complex contract language into actionable reimbursement models within Epic.

This is a collaborative, high-visibility role that partners with leadership, payors, finance, and operational stakeholders to ensure contract performance, revenue integrity, and negotiation strategy alignment.


Key Responsibilities

  • Analyze managed care contracts and communicate operational and financial impacts to internal stakeholders.
  • Develop financial models and projections for proposed and existing physician and hospital contracts.
  • Monitor contract performance and audit financial outcomes to ensure payment compliance.
  • Identify underpayments and negotiate with payors to recover revenue when appropriate.
  • Review and negotiate contract language in collaboration with leadership.
  • Develop and maintain data sets required for contract modeling and analysis.
  • Maintain departmental processes to track and manage contracts effectively.
  • Resolve contractual disputes by partnering with cross-functional stakeholders.
  • Build, test, and maintain contract projection models within Epic.
  • Perform Epic testing and collaborate with application teams to move builds into production.
  • Troubleshoot and resolve rate and revenue code programming issues to maximize reimbursement.
  • Support ongoing analysis to ensure managed care contract performance meets financial expectations.


Required Qualifications

  • Bachelor’s degree in Business or related field.
  • 3–4 years of experience in managed care, health plan contracting, or provider reimbursement.
  • Experience analyzing physician and hospital reimbursement methodologies.
  • Strong analytical skills with experience in financial modeling and contract analysis.
  • Ability to obtain and maintain Epic certification in assigned modules.
  • Working knowledge of Microsoft Excel, Word, Power BI, and Access.
  • Experience working in a health system, clinic, surgery center, or similar healthcare environment.
  • Strong communication skills with the ability to work cross-functionally.
  • Detail-oriented with the ability to manage complex data and deadlines.


Preferred Qualifications

  • Experience with contract negotiations and contract language interpretation.
  • Familiarity with data warehouse applications.
  • Prior Epic certification.
  • Advanced Power BI experience.


What We’re Looking For

  • A strategic thinker who understands both contract language and reimbursement mechanics.
  • Someone comfortable auditing payor performance and identifying revenue recovery opportunities.
  • A professional who can bridge finance, operations, and IT.
  • A self-starter who thrives under tight deadlines and evolving priorities.