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Afternoon Data Analyst R Programming Jobs in Uniontown, OH

Swagelok Company

Senior Quality Engineer

Valley City, OH · On-site

$83K - $113K/yr

Coordinate and analyze gauge R&Rs. * Participate in department meetings to provide input into the ... Provide reliability analysis and Weibull data calculations for project and product related issues.

PartsSource

Senior Data Engineer

Hudson, OH · On-site

$96K - $131K/yr

Design data models and schemas for reporting and analytics use cases, applying normalization and ... Contribute to internal engineering standards: version control (GitHub), CI/CD, infrastructure as ...

SI Solutions, LLC

Fitness for Service Analyst

Akron, OH · On-site

Programming or scripting experience in Python, R, or VBA to support automation of analysis workflows * Professional Engineer (P.E.) licensure or progress toward licensure * Knowledge of ASME Boiler ...

Timken

Senior MDM Analyst

North Canton, OH · On-site

$78K - $103K/yr

Highly analytical Senior MDM Analyst specializing in Data Quality and Governance, with expertise in ... chain, engineering or IT and 2+ years' experience in Master Data Management. All qualified ...

New

Timken

Senior MDM Analyst

North Canton, OH

$78K - $103K/yr

Highly analytical Senior MDM Analyst specializing in Data Quality and Governance, with expertise in ... chain, engineering or IT and 2+ years' experience in Master Data Management. All qualified ...

New

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Uniontown, OH

Afternoon Data Analyst R Programming information

See Uniontown, OH salary details

$27.6K

$67.1K

$110.4K

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

As of Aug 7, 2026, the average yearly pay for afternoon data analyst r programming in Uniontown, OH is $67,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $78,800.00 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?

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 job categories do people searching Afternoon Data Analyst R Programming jobs in Uniontown, OH look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Uniontown, OH are:
What cities near Uniontown, OH are hiring for Afternoon Data Analyst R Programming jobs? Cities near Uniontown, OH 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 Uniontown, OH as of June 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $67,112 per year, or $32.3 per hour.

Specialist - Plant data management

Schaeffler

Wooster, OH

Other

Retirement

Re-posted 14 days ago

Schaeffler rating

7.3

Company rating: 7.3 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

304th of 487 rated machine equipment manufacturers

Job description

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.  

Your Key Responsibilities
  • Consolidate requirements, develop and implement data concepts and/or analyze, interpret and report on data and related information for the business or domain assigned.
  • Gather and evaluate business needs with respect to data and develop data models that best meet the information requirements.
  • Develop and implement concepts for improving data-related processes, and recommend appropriate IT systems for utilization.
  • Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes and resolve data quality issues.
  • Build or configure reports and analytical solutions to generate additional information from data based on given toolsets.
  • Enable and support stakeholders in the data network and share guidelines, standards and best practices with the organization.
  • Support the planning, rollout, and adoption of S4 HANA and related applications across Schaeffler North American plants.
  • Implement IT systems and tools that enhance planning, logistics, and supply chain processes.
  • Create and maintain logistics and planning master data in alignment with global standards.
  • Participate in regional and local S4 HANA team meetings, providing insights and feedback from the manufacturing plants.
  • Work directly within manufacturing and logistics environments to understand system impact and operational needs.
  • Train end users on S4 HANA and related systems, promoting consistent standards and best practices.
  • Enable and support stakeholders within the larger data network, sharing knowledge and fostering adoption.
Your Qualifications
  • Bachelor Degree in preferred in Business, Supply Chain Management, Logistics, Industrial Engineering, or a related field.
  • 3 to 5 years of experience in a related role.
  • Proven experience in production planning, logistics, supply chain management, or process optimization.
  • Hands-on experience with ERP systems, ideally SAP R/3 or S/4HANA, and manufacturing planning/logistics systems.
  • Strong analytical skills with the ability to consolidate, interpret, and act on complex datasets.
  • Ability to apply systematic approaches and continuous improvement methodologies (Lean, Six Sigma, etc.).
  • Comfortable working near manufacturing and logistics equipment as needed to support operational processes.
  • Applicants must be authorized to work in the US without employment VISA or other sponsorship.
Our Offering

6% 401(k) company match

Explore more benefits at www.schaefflerbenefits.com

As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.

Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.

www.schaeffler.com/careers

Your contact

Schaeffler Transmission Systems, LLC 

Kim Korttila

Korttkm@schaeffler.com

Schaeffler is an equal employment opportunity / affirmative action employer. All qualified candidates will receive equal employment opportunities and consideration for employment without regard to unlawful consideration of race, color, sex, sexual orientation, gender identity, age, religion, national origin, disability, protected veteran status, or any other status protected by applicable law.

Keywords: Digitalization & Information Technology;  

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