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Afternoon Data Analyst R Programming Jobs in Catoosa, OK

The University of Oklahoma

Senior Data Analyst

Tulsa, OK · On-site

$78K - $99K/yr

Senior Data Analyst Job no: 493306 Work type: Professional Location: Tulsa Categories: Technology ... Will function as lead developer for a Care Management application platform currently utilized by a ...

Varsity Tutors

Data Science Tutor

Tulsa, OK · Remote

$18 - $40/hr

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 ...

Pwc

Data Strategy-Manager

Tulsa, OK · On-site

$99K - $232K/yr

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

Northmarq

Data Business Analyst

Tulsa, OK · On-site

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

Data Business Analyst

Bixby, OK · On-site

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

Data Business Analyst

Tulsa, OK · On-site

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

Data Business Analyst

Jenks, OK · On-site

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

Data Business Analyst

Broken Arrow, OK · On-site

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

Data Business Analyst

Glenpool, OK · On-site

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

Data Business Analyst

Oakhurst, OK · On-site

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 ...

ONEOK, Inc.

AI Analyst

Tulsa, OK · On-site

$92 - $138/hr

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 ...

ONEOK, Inc

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 ...

Oneok, Inc.

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 ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Catoosa, OK

Afternoon Data Analyst R Programming information

See Catoosa, OK salary details

$30.9K

$75K

$123.5K

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

As of Aug 26, 2026, the average yearly pay for afternoon data analyst r programming in Catoosa, OK is $75,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $88,100.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Catoosa, OK?

For Afternoon Data Analyst R Programming jobs in Catoosa, OK, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Catoosa, OK look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Catoosa, OK are:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Catoosa, OK as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $75,030 per year, or $36.1 per hour.

Senior Data Analyst

The University of Oklahoma

Tulsa, OK • On-site

$78K - $99K/yr

Full-time

Re-posted 2 days ago

University Of Oklahoma rating

8.1

Company rating: 8.1 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

167th of 622 rated colleges and universities

Job description

Senior Data Analyst
Job no: 493306
Work type: Professional
Location: Tulsa
Categories: Technology/Research
Pay Range: Commensurate based on education and experience
Benefits Eligible: Yes
Work Schedule: Monday - Friday, 8:00 a.m. to 5:00 p.m.
Position Introduction:
Will function as lead developer for a Care Management application platform currently utilized by a team of approximately 15 staff to manage a large population of Health Access Network members.
The successful candidate will provide technical leadership for application design, development, enhancement, and support activities. Required skills include strong proficiency in C#, .NET 8, REST APIs, and Microsoft SQL Server, along with experience designing, developing, and maintaining enterprise applications. Experience with Dapper, IIS, Visual Studio, Azure, and modern software development practices is preferred.
The candidate should be capable of leading technical initiatives, mentoring developers, performing code reviews, troubleshooting complex application issues, and collaborating with business stakeholders to deliver scalable, secure, and maintainable solutions. Experience with TypeScript and React is desirable but not required for candidates with strong back-end development and database expertise.
Experience with AI-assisted software development tools and workflows is strongly preferred, including the ability to leverage modern AI coding assistants to improve productivity, code quality, testing, documentation, and application delivery. The ideal candidate will be comfortable evaluating and adopting emerging technologies while maintaining established software engineering best practices.
View the full job description.
Required Education and Experience:
  • Bachelor's Degree
  • 48 months experience as a Data Analyst or in related field.

Equivalency/Substitution: Will accept 48 months data analysis, business analysis experience in lieu of the Bachelor's Degree for a total of 96 months experience.
Hiring Contingent Upon a Background Check: Yes
Advertised: 25 Jun 2026 Central Daylight Time
Applications close: 23 Sep 2026 Central Daylight Time
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About University of Oklahoma

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The University of Oklahoma is a prominent educational institution positioned in Norman, Oklahoma, US. Established in 1890, the university stakes a claim within the higher education industry and has a storied history of excellence in academics and research. Serving over 20,000 students, the university offers a wide range of programs across fields such as arts and sciences, business, engineering, international studies, and more. Emphasizing a dedication to unlocking potential, OU's mission is to provide the best possible educational experience to students through excellence in teaching, research, and creative activity. Notably, the institution has made significant strides in research with a focus on areas such as cancer, aerospace, and energy among others.

Industry

Education

Company size

5,001 - 10,000 Employees

Headquarters location

Norman, OK, US

Year founded

1890

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