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Afternoon Data Analyst R Programming Jobs in Springfield, MO

The Principal AI Engineer is the senior technical contributor within Analytics responsible for designing, developing, and implementing enterprise AI capabilities on the data platform with a focus on ...

The Principal AI Engineer is the senior technical contributor within Analytics responsible for designing, developing, and implementing enterprise AI capabilities on the data platform with a focus on ...

As the senior AI technical contributor within Analytics, you'll partner with Data Engineering and Analytics teams to set architectural patterns, best practices, and governance-aligned standards for ...

Senior Incentive Analyst

Springfield, MO · On-site

$91K - $121K/yr

Strong data analytics, HR software, Excel and Power BI capabilities. * Highly collaborative with ... For more than a century, we've been at the forefront of designing, building, and engineering ...

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Afternoon Data Analyst R Programming information

See Springfield, MO salary details

$30.9K

$75.2K

$123.7K

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

As of Jul 9, 2026, the average yearly pay for afternoon data analyst r programming in Springfield, MO is $75,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,200.00 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 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 key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

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 popular job titles related to Afternoon Data Analyst R Programming jobs in Springfield, MO? For Afternoon Data Analyst R Programming jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Springfield, MO look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Afternoon Data Analyst R Programming jobs? Cities near Springfield, MO with the most Afternoon Data Analyst R Programming job openings:
Workforce Planning Analyst

Workforce Planning Analyst

O'Reilly Auto Parts

Springfield, MO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,854 frontline employees who took The Breakroom Quiz

543rd of 724 rated retailers


Job description

Analyze, evaluate and make recommendations relative to payroll budgets, staffing levels, schedule adherence, work volume and overall workforce management system performance to ensure excellent customer service and operational goals are met. Work with development teams, project managers and other internal and external parties to identify, implement and test configuration related to the workforce management software. Perform periodic application configuration and testing for existing and new stores added to the system. Review, analyze and make recommendations related to implementation of changes by the application vendor during routine software updates/releases. Analyze various workforce management data points for accuracy.
ESSENTIAL JOB FUNCTIONS
Gather and analyze data from multiple internal and external sources and make well informed recommendations regarding payroll budgets, staffing forecasts, and work schedules to insure excellent customer service and profitability goals are met.
Performs complex ad-hoc what-if analysis to identify trends, patterns and opportunities within the scope of workforce planning
Periodically analyzes key metrics imported from systems of record into the workforce management system (i.e. store operating hours, store type, adjustment drivers, goals, etc.)
Works with field management on event analysis, planning, exclusions and special circumstances that impact forecasting and scheduling. This will include analyzing and maintaining ongoing adjustments/exceptions in the workforce management system.
Responsible for setting up system configuration, user acceptance testing and supporting user adoption
Work with development teams, project managers, and other internal and external teams to implement and test changes to the workforce management system.
Work with IT teams to insure team member profiles, data views, reports and access levels are configured correctly, including user acceptance testing.
Provide support for analyzing and responding to JIRA tickets and various reported issues related to the scheduling and timekeeping system.
Review, analyze and make recommendations related to implementation of changes implemented by the application vendor during routine software updates/releases.
Provides reporting from the workforce management system to support multiple departments within the company.
Supports key areas of workforce management, including but not limited to budgeting, forecasting and scheduled hours allocation.
Provides phone support to stores and other departments regarding budgeting, forecasting and scheduling.
Works well under challenging working conditions, while meeting deadlines.
Other duties as assigned.
SKILLS/EDUCATION/KNOWLEDGE/EXPERIENCE/ABILITIES
Required:
High school diploma or equivalent
Must possess a high degree of proficiency with Microsoft Excel and Access
Must work well in a team environment
Problem solver and critical thinker
Excellent documentation, communication and organizational skills
Ability to analyze data, identify trends and patterns, and report on findings with recommendations
Previous data analytics experience
Attention to detail, self-starter and the ability to learn independently
Desired:
Bachelor's. degree in Business, Finance, or Accounting
2 years in Automotive Aftermarket with general understanding of programming standards, procedures and processes
Knowledge of database structures, computer flow charts, program logic and code
Previous experience in workforce management/planning
Self-motivated to a high level of achievement, excellent written/verbal communicator, analytical and able to make/recommend decisions in the best interest of O'Reilly Auto Parts
Is committed to any additional training as necessary to stay abreast of technology and apply it as it relates to workforce planning
Advanced skill set using SQL to perform queries and build comparisons
Advanced education and demonstrated experience in Project Management
O'Reilly Auto Parts has a proven track record of growth and stability. O'Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.
Total Compensation Package:
  • Competitive Wages & Paid Time Off
  • Stock Purchase Plan & 401k with Employer Contributions Starting Day One
  • Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
  • Team Member Health/Wellbeing Programs
  • Tuition Educational Assistance Programs
  • Opportunities for Career Growth

O'Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable.
Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: rar@oreillyauto.com or call (800) 471-7431 option , and provide your requested accommodation, and position details.

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