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Data Analyst R Jobs in Oklahoma (NOW HIRING)

Researches, analyzes, and presents compensation data in order to assist with the determination of ... R.E., Service Attitude, Innovative Spirit, and Teamwork. What you need: * Certified Compensation ...

Researches, analyzes, and presents compensation data in order to assist with the determination of ... R.E., Service Attitude, Innovative Spirit, and Teamwork. What you need: * Certified Compensation ...

Job Summary Demonstrated capability in data creation, manipulation, management, and cartography. Proficiency in field survey methods and GPS concepts. Familiar with a range of analytical tools for ...

... with data aggregation/modelling tools such as R, SAS, Python, Excel/VBA, Matlab or comparable ... Analytical and Conceptual thinking that integrates multiple areas of the bank. Working Conditions ...

Compiles data from multiple sources and develops performance reports * Initiates variance analyses ... R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent ...

New

Compiles data from multiple sources and develops performance reports * Initiates variance analyses ... R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent ...

New

Collaborate with data engineers, analysts, and business stakeholders to understand data needs and ... Integrate Python and R capabilities with Spotfire, where necessary. * Troubleshoot and improve ...

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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 21, 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.
Research Scientist GS9392

Research Scientist GS9392

Oklahoma State University

Tulsa, OK • On-site

Full-time

Posted 8 days ago


Oklahoma State University rating

7.3

Company rating: 7.3 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

309th of 538 rated colleges and universities


Job description

Research Scientist GS9392
Job no: 493897
Work type: Staff Full-time
Location: Tulsa
Categories: Research
Campus
OSU-Center for Health Sciences
Contact Name & Email
Jamie Childers, Jamie.Childers@okstate.edu
Work Schedule
Typically Monday - Friday, 8 hour shifts
Appointment Length
Regular Continuous/Until Further Notice
Hiring Range
Salary
Priority Application Date
While applications will be accepted until a successful candidate has been hired, interested parties are encouraged to submit their materials by to ensure full consideration.
Special Instructions to Applicants
For full consideration, please include a resume or CV, cover letter and contact information for three professional references
About this Position
The Department of Anatomy & Cell Biology is seeking a Research Assistant or Scientist to provide quantitative and data-focused support for human and mouse neuroscience research. This position focuses on data management, analysis, and study infrastructure for IRB-regulated human and animal subjects research, including behavioral and neuroimaging studies. The role functions as a shared analytical resource and is primarily computational in nature, with limited but essential involvement in human subjects research activities.
Key Responsibilities
  • Conduct quantitative analyses using Python and/or R
  • Analyze and interpret high-throughput DNA/RNA sequencing (bulk and single-cell RNA-seq) datasets using established pipelines and statistical methods;
  • Support development and deployment of behavioral tasks (online and in-person)
  • Assist with neuroimaging and behavioral data workflows
  • Ensure compliance with data security and IRB regulations as well as ensuring data integrity and reproducibility

Required Qualifications
  • Master's
    • Master's degree or Ph.D. in neuroscience, bioinformatics, data science, biomedical engineering, or a related field
    (degree must be conferred on or before agreed upon start date)
    • Experience with quantitative data analysis (Python and/or R)
    • Experience working with research data or regulated datasets
  • Certifications, Registrations, and/or Licenses:
  • Skills, Proficiencies, and/or Knowledge:
    • Ability to implement and troubleshoot bioinformatics workflows in R and/or Python for quality control, normalization, clustering, differential expression or other analysis steps
    • Strong organizational and communication skills

Preferred Qualifications
  • Ph.D. degree
    • Ph.D. degree in a relevant field
    • Experience with large-scale databases (behavioral, neuroimaging, genomic databases)
  • Certifications, Registrations, and/or Licenses:
  • Skills, Proficiencies, and/or Knowledge:
    • Familiarity with Unix/Linux environments

Advertised: 13 Feb 2026 Central Standard Time
Applications close:
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