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Data Analyst R Jobs in Oklahoma (NOW HIRING)

Proficiency in Python, R, SQL, or similar data analysis languages. * Experience using software libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar tools. * Experience ...

Proficiency in Python, R, SQL, or similar data analysis languages. * Experience using software libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar tools. * Experience ...

Help define scalable data models and structures to support analytics and AI use cases Tooling & Infrastructure * Build models and workflows using: * Python (preferred) or R * SQL / BigQuery (GCP ...

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 ...

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 ...

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 ...

Senior Commercial Insurance Analyst - Remote

Kansas, OK · Remote

$70K - $92K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Working knowledge of R or Python. * Experience with automating repetitive tasks. * Adaptability and ...

SUM M A R Y: The Project Analyst position provides day to day support to project managers and ... gather data needed for project requirements. • Supports the project team on project ...

SUM M A R Y: The Project Analyst position provides day to day support to project managers and ... Utilizes data gathering tools and methods to analyze and gather data needed for project ...

Sr. Data Scientist, Payments

Kansas, OK · On-site

$152K - $205K/yr

Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation, analysis, and model. * Strong understanding of statistics and experience applying statistical ...

Experience with quantitative data analysis (Python and/or R) * Experience working with research data or regulated datasets * Certifications, Registrations, and/or Licenses: * Skills, Proficiencies ...

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Showing results 1-20

Data Analyst R information

See Oklahoma salary details

$31.4K

$76.3K

$125.6K

How much do data analyst r jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data analyst r in Oklahoma is $76,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,600.00 per year, depending on experience, location, and employer.

What is a Data Analyst R job?

A Data Analyst R job involves analyzing and interpreting data using the R programming language. Professionals in this role collect, clean, and process data, then apply statistical techniques and visualizations to extract insights. They work with databases, create reports, and support decision-making in business, healthcare, finance, or other industries. Proficiency in R, SQL, and data visualization tools is essential.

What are the key skills and qualifications needed to thrive in the Data Analyst R position, and why are they important?

To excel as a Data Analyst R, candidates require strong analytical abilities, proficiency in statistical modeling, and a solid background in mathematics or related fields, often supported by a relevant degree. Expertise in the R programming language, knowledge of data visualization libraries, and experience with database querying (such as SQL) are commonly expected; certifications in data analysis or R programming can be advantageous. Attention to detail, critical thinking, and effective communication skills help data analysts translate complex data insights into actionable business recommendations. These competencies enable Data Analyst R professionals to accurately interpret data, efficiently support business decisions, and foster collaboration across departments.

What does a typical day look like for a Data Analyst R, and how do they work with other teams?

A Data Analyst R typically spends their day extracting, cleaning, and analyzing large datasets using R, generating reports, and building data visualizations to communicate findings. Collaboration is a key aspect, as analysts often work closely with business stakeholders, IT teams, and fellow analysts or data scientists to define project objectives and interpret results. Regular meetings, presentation of findings, and participation in problem-solving discussions are common parts of the workflow. This collaborative, dynamic environment helps ensure that data-driven insights effectively support organizational goals and decision-making processes.

Infographic showing various Data Analyst R job openings in Oklahoma as of June 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $76,304 per year, or $36.7 per hour.

Other

Posted 11 days ago


Job description

ASRC Federal Advanced Research supports the Federal Aviation Administration (FAA) National Airspace System (NAS) Second Level Engineering Support (SLES) contract.

We are seeking a highly motivated Data Scientist to support the Weather Systems Group. This role contributes to the design, integration, and sustainment of mission-critical aviation weather systems supporting real-time operations across the NAS.

Responsibilities:

  • Analyze system performance, operational trends, failure data, and reliability metrics to support engineering and management decisions.
  • Perform statistical analysis, including hypothesis testing, ANOVA, regression, correlation analysis, and confidence interval estimation.
  • Conduct reliability analysis to evaluate equipment performance, failure trends, maintainability, availability, and life-cycle risk.
  • Design and evaluate experiments or comparative studies to determine whether observed differences are statistically significant.
  • Develop models and analytical methods to detect anomalies, forecast trends, and support predictive maintenance or operational decision-making.
  • Develop scripts and tools using C, C++, and Python for automation, analysis, and system configuration
  • Support full software lifecycle including requirements, development, testing, and deployment
  • Perform capacity planning and scalability assessments for distributed systems
  • Develop technical documentation, reports, and artifacts for field use
  • Lead or contribute to process improvements
  • Collaborate with government stakeholders, engineers, and field technicians

Requirements:

US Citizenship or Permanent Residency required. All applicants must have resided in the United States for the past 3 years.

On-site presence will be as required by the FAA.

  • Proficient in programming languages and scripts used in model and tool development (C, C++, Python)
  • Proficiency in Python, R, SQL, or similar data analysis languages.
  • Experience using software libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar tools.
  • Experience creating dashboards, reports, or visualizations using tools such as Power BI, Tableau, Looker, matplotlib, or similar platforms.
  • Experience with use of source control such as Git.
  • Must demonstrate initiative with minimal oversight
  • Experience working in a team environment
  • Experience authoring technical documentation and providing technical support
  • Good written and spoken communication including developing technical documentation
  • Ability to pass an FAA background investigation
  • Must be local to the OKC area or willing to relocate.  Will need to have the ability to physically access laboratory hardware when needed.
  • Must be willing to travel up to 5% of the time.

Education/Experience:

  • Bachelor’s degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field

Level 1: Entry Level

Level 2: Minimum 3 years of experience equivalent to a level 1

Level 3: Minimum 3 years of experience equivalent to a level 2

Level 4: Minimum 3 years of experience equivalent to a level 3