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Afternoon Data Analyst R Programming Jobs in Oklahoma

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

DATA ANALYST POSITION SUMMARY THIS POSITION IS IN STATE, IN OKLAHOMA CITY. IT IS NOT A REMOTE ... This position reports directly to the Senior Business Intelligence Engineer and supports the ...

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

Stillwater, 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 ...

Varsity Tutors

Data Science Tutor

Oklahoma City, 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 ...

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 ...

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Afternoon Data Analyst R Programming information

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 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 Afternoon Data Analyst R Programming jobs in Oklahoma?

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

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

The top searched job categories for Afternoon Data Analyst R Programming jobs in Oklahoma are:

What cities in Oklahoma are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Oklahoma with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Workforce Data Analyst

Oklahoma City, OK

Loves Travel Stops & Country Store
Gasoline Stations • 10K+ employees

5.8

Company rating: 5.8 out of 10

Based on 800 frontline employees who took The Breakroom Quiz

402nd of 738 rated retailers

People enjoy working here

Recommended by parents

Respectful managers

Learn more about Loves Travel Stops & Country Storeexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Job description

Req ID: 473801  

Benefits: * Fuel Your Growth with Love's - company funded tuition assistance * Paid Time Off * 401(k) - 100% Match up to 5% * Medical/Dental/Vision Insurance after 30 days * Competitive Pay * Career Development *

Welcome to Love's: Love's is seeking a highly analytical and strategic Workforce Analyst to join our Workforce Management team. This role is ideal for someone who thrives at the intersection of HR, Operations and data, and who can turn workforce data into actionable insights that drive business decisions. In this role, you will work closely with HR, Operations, IT & Finance to optimize workforce planning, improve employee experience, and support strategic initiatives.

Job Functions: 

  • Analyze workforce data to identify trends, risks, and opportunities
  • Develop and maintain interactive dashboards and reports using visualization tools for HR, Operations and executive stakeholders
  • Design and implement data models to support scalable analytics solutions
  • Utilize engineered labor standards to help make informed decisions
  • Collaborate with cross-functional teams to define KPIs and build predictive models for attrition, hiring, and productivity
  • Automate data pipelines and reporting processes to improve efficiency and accuracy
  • Translate complex data findings into clear, actionable recommendations for leadership
  • Ensure data integrity, security, and compliance with relevant regulations and internal policy

 

Qualifications and Experience:

  • Bachelor's in Data Science, Statistics, Business Analytics, Computer Science, or related field
  • 2-3 years of experience in workforce analytics, HR data science, HRIS, UKG Pro Analyst, UKG Pro Reporting Analyst, HR data analyst, WFM analyst, or a related role
  • Hands-on experience with UKG Pro, including dataviews, data extraction and reporting
  • Proficiency in Power BI for data visualization and dashboard development
  • Strong SQL skills and experience working with Snowflake or similar cloud data platforms
  • Excellent communication skills with the ability to present insights to non-technical audiences
  • Knowledge of HR metrics, operations business function and expectations, workforce planning, and organizational behavior
  • Experience with Python or R for statistical analysis and machine learning
  • Familiarity with other HR systems
  • Understanding of compensation, benefits, and talent management data and how it ties into workforce panning and modelin

This position is located at Love's corporate office in Oklahoma City.

Must be authorized to work in the U.S. without sponsorship

Our Culture: 

Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value for professional drivers, fleets, traveling public, RVers, alternative energy and wholesale fuel customers. Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture.

Love's is an Equal Opportunity Employer. Veterans encouraged to apply.

What Love's Travel Stops employees say

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