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Entry Level Data Analyst R Programming Jobs in Oklahoma City, OK

Addison Group

Sr. Data Engineer

Oklahoma City, OK · On-site

$50 - $70/hr

Ability to use AI tools or prompting techniques to assist with programming and data-related tasks. * Strong analytical, problem-solving, and critical-thinking skills. * Ability to independently ...

Addison Group

Sr. Data Engineer

Oklahoma City, OK · Remote

$50 - $70/hr

Ability to use AI tools or prompting techniques to assist with programming and data-related tasks. * Strong analytical, problem-solving, and critical-thinking skills. * Ability to independently ...

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All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Oklahoma City, OK

Entry Level Data Analyst R Programming information

See Oklahoma City, OK salary details

$12

$30

$57

How much do entry level data analyst r programming jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for entry level data analyst r programming in Oklahoma City, OK is $30.59, according to ZipRecruiter salary data. Most workers in this role earn between $19.66 and $34.18 per hour, depending on experience, location, and employer.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What are the most commonly searched types of Data Analyst R Programming jobs in Oklahoma City, OK?

The most popular types of Data Analyst R Programming jobs in Oklahoma City, OK are:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Oklahoma City, OK?

For Entry Level Data Analyst R Programming jobs in Oklahoma City, OK, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Oklahoma City, OK look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Oklahoma City, OK are:

What cities near Oklahoma City, OK are hiring for Entry Level Data Analyst R Programming jobs?

Cities near Oklahoma City, OK with the most Entry Level Data Analyst R Programming job openings:

Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Oklahoma City, OK as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $63,621 per year, or $30.6 per hour.

Data Internship (Oklahoma City Local Only)

American Fidelity

Oklahoma City, OK • On-site

Part-time

Posted 17 days ago

Job description

Perform various duties to support technical functions of the Enterprise Data & Innovation department. This could include, but is not necessarily limited to: data integration, database design, software programming, software testing, process analysis, requirements, report writing, data analysis, data scrubbing, predictive modeling, business intelligence development, troubleshooting and resolving technical problems, documentation and system administration using on-premise and/or cloud environments.
Prepare and deliver reports and presentations to various groups of various sizes to communicate findings and / or recommendations
Work collaboratively with manager, department members and other interns
Skills
Basic Data modeling knowledge
Experience with at least one statistical programming tool, such as R, SAS or Python
Experience with at least one data visualization tool, such as Qlik, PowerBI or Tableau
Graduating May 2027 or after
Available to come into the office during the internship
Must be available to intern January 2027 for up to a year
Strong collaboration and teamwork skills
Problem solving skills
Strong communication skills (verbal and written)
Competent business etiquette and business ethics
A history of entrepreneurial and innovative efforts
Strong experience with MS Productivity Suite (Word, Excel, PowerPoint, etc.)
Ability to learn and adapt quickly, especially technology
Ability to analyze and document both business and technical processes
Basic business and financial acumen
Critical thinking skills
Knowledge of PC hardware and software
Strong work ethic
#AFC

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