1

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 ...

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 ...

Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make ... Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning:

next page

Showing results 1-20

People also search for

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 Jun 18, 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 the most commonly searched types of Data Analyst R Programming jobs in Springfield, MO? The most popular types of Data Analyst R Programming jobs in Springfield, MO are:
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:
Supply Chain Business Analyst

Supply Chain Business Analyst

O'Reilly Auto Parts

Springfield, MO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,836 frontline employees who took The Breakroom Quiz

534th of 715 rated retailers


Job description

Assist in creating and driving business value and growth through the effective use of data. Collect and perform analyses to improve the efficiency of O'Reilly supply chain operations. Identify trends and opportunities within the analysis to develop supply chain initiatives. Plan and execute initiatives to ensure business objectives are met to optimize department functions.
ESSENTIAL JOB FUNCTIONS
Leverage a strong functional background to analyze complex issues and make recommendations for strategic changes that improve the reliability and accuracy of existing solutions.
Support and liaise with senior executives to identify and define project requirements, scope, and objectives.
Break tasks down into activities and track and report on project risks, opportunities, and completion.
Prepare presentations and reports for business leaders (i.e., monthly financials, project status, executive reports).
Communicate project status to all stakeholders, including business leaders and internal team members.
Facilitate and schedule meetings as necessary.
Use existing tools such as Smartsheet, PowerBI, PowerPoint, and SharePoint to support and report on project status.
Lead monthly project onboarding across teams and connect with stakeholders to obtain project details, review budget requests and prepare presentations for senior leadership approval.
Submit and manage purchase orders for approved projects in third party vendor platform
Responsible for the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc.
Ensure data is current and accurate by validating data for new and existing tools.
Deliver Ad-hoc and reporting requests, in addition to long-term projects.
Establish and maintain relationships with suppliers, vendors, etc. to ensure timely and accurate deliveries.
All other duties as assigned.
SKILLS/EDUCATION/KNOWLEDGE/EXPERIENCE/ABILITIES
Required:
Bachelor's degree in Data Science, Data Analytics, Data Engineering, Database Management, Statistics, Applied Math or a related field
Proficient in SmartSheet, SharePoint, Google suite, and Microsoft Office suite
Experience with data visualization software like Tableau or Power BI
Proven ability to take initiative to solve problems in a collaborative way
Ability to be innovative and flexible while working in a fast-paced and agile environment
Ability to synthesize details in a meaningful way and create summaries for executive and cross functional reporting (i.e., status reports, budget snapshots, resource plans, project audits)
Excellent verbal/written communication and interpersonal skills, with the ability to communicate confidently and professionally with all levels of the organization
Independent project management skills with the ability to prioritize simultaneous projects
Strong analytical and problem solving skills
Ability to synthesize large amounts of data to identify key trends
Excellent judgement and trustworthiness with sensitive and confidential material
Desired:
Previous experience in a PMO Coordination role
Experience working on a team within supply chain distribution
Tableau or Power BI certifications
Advanced data collection techniques/languages (Google Cloud Platform, Python, SQL, etc)
Experience with HCM and CRM reporting tools (Workday, Phenom)
Familiarity with Metric Insights
Project Management Certifications
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.

What O'Reilly Auto Parts employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom