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Afternoon Data Analyst R Programming Jobs in Canton, OH

Quanex

Manager, Data Governance

Akron, OH · On-site

Lead data quality initiatives, including definition of metrics, ongoing monitoring, root-cause analysis, and remediation * Partner with Engineering and Manufacturing teams to align data structures ...

Quanex

Manager, Data Governance

Akron, OH · On-site

Lead data quality initiatives, including definition of metrics, ongoing monitoring, root-cause analysis, and remediation * Partner with Engineering and Manufacturing teams to align data structures ...

Quanex

Manager, Data Governance

Akron, OH · On-site

Lead data quality initiatives, including definition of metrics, ongoing monitoring, root-cause analysis, and remediation * Partner with Engineering and Manufacturing teams to align data structures ...

SI Solutions, LLC

Engineering Analyst

Uniontown, OH · On-site

... data to evaluate component condition, damage mechanisms, and inspection priorities • Assist with field assessments at customer sites, including supporting nondestructive examination activities such ...

BWX Technologies

Data Engineer

Barberton, OH

$62K - $97K/yr

Automate data pipelines and analytics, for machine learning, digital twins, and data modeling. Job Qualifications / Requirements: * A bachelor's degree in computer science or computer engineering.

BWX Technologies

Data Engineer

Barberton, OH

$62K - $97K/yr

Automate data pipelines and analytics, for machine learning, digital twins, and data modeling. Job Qualifications / Requirements: * A bachelor's degree in computer science or computer engineering.

FirstEnergy

Analyst - Controllers

Akron, OH · On-site

Daily collaboration with cross-functional teams including Engineering, Operations, and Accounting * Primarily office-based work with a high volume of data analysis and system interaction Benefits ...

FirstEnergy Corp.

Analyst - Controllers

Akron, OH · On-site

Daily collaboration with cross-functional teams including Engineering, Operations, and Accounting * Primarily office-based work with a high volume of data analysis and system interaction Benefits ...

J.M. Smucker

Manager, Data Engineering

Orrville, OH · On-site

Manager, Data Engineering - Enterprise Data Platform The Manager, Data Engineering is responsible ... Own production support processes, including incident management, root cause analysis, and ...

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

Afternoon Data Analyst R Programming information

See Canton, OH salary details

$31.8K

$77.2K

$127.1K

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

As of Jun 29, 2026, the average yearly pay for afternoon data analyst r programming in Canton, OH is $77,221.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $90,600.00 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 cities near Canton, OH are hiring for Afternoon Data Analyst R Programming jobs? Cities near Canton, OH with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Manager, Data Modeling & Governance

Manager, Data Modeling & Governance

The J. M. Smucker Company

Orrville, OH • On-site

Other

Posted 12 days ago

Key responsibilities

  • Lead, coach, and develop a team of Data Architects and Data Governance professionals.

  • Define and enforce enterprise standards for dimensional modeling and data governance across domains.

  • Own and evolve the enterprise data governance operating model, including metadata, lineage, and data catalog management.

J.M. Smucker rating

8.2

Company rating: 8.2 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

59th of 388 rated food and drinks producers

Job description

Your Opportunity as the Manager, Data Modeling & Governance
The Manager, Data Modeling & Governance is responsible for leading a team of data architects and governance professionals while establishing enterprise standards for how data is defined, structured, and governed. This role ensures that data is trusted, consistently defined, and aligned to support scalable analytics and reporting across the organization. This role defines and enforces standards for dimensional modeling using star schema principles, including fact and dimension design, conformed metrics, and semantic consistency across domains. It ensures that analytics data models are reusable, performant, and aligned to business needs, while supporting a unified semantic layer that enables reliable reporting and analytics, including Tableau. In addition, this role owns the enterprise data governance framework, including metadata, lineage, data ownership, and classification. Governance practices are designed to be embedded into daily workflows, ensuring data is discoverable, accountable, and usable. This role defines what data means and how it is structured, complementing data engineering and platform engineering capabilities across the enterprise data platform.
Location: Orrville, OH (Close proximity to Cleveland/Akron)
Work Arrangements: Hybrid - onsite a minimum of 9 days a month primarily during core weeks as determined by the Company; maybe more as business need requires
In this role you will:
  • Team Leadership & Talent Development
    • Lead, coach, and develop a team of Data Architects and Data Governance professionals
    • Set clear priorities, performance expectations, and deliverables
    • Establish consistent modeling and governance practices across domains
    • Build team capabilities in dimensional modeling, governance execution, and business alignment
    • Create and maintain scalable documentation, standards, and training materials
  • Data Modeling Standards
    • Define and enforce enterprise standards for dimensional modeling using star schema principles
    • Establish consistent design patterns for fact tables, dimension tables, conformed dimensions, and metric definitions
    • Ensure models are optimized for analytics, reporting, and usability, including Tableau
    • Promote reusable, domain-aligned models that reduce redundancy and duplication
  • Semantic Consistency & Business Alignment
    • Define and maintain consistent business definitions across the enterprise
    • Establish a unified semantic layer supporting Tableau and certified data sources
    • Resolve discrepancies in metric definitions and data interpretation
    • Ensure alignment between source data, engineered data layers, and published analytics assets
  • Data Governance Strategy & Execution
    • Own and evolve the enterprise data governance operating model
    • Establish standards for data classification, sensitivity, retention, and lifecycle management
    • Define requirements for metadata completeness, ownership, and stewardship
    • Track governance adoption, maturity, and compliance across domains
  • Metadata, Lineage & Data Catalog
    • Own metadata strategy and governance tooling, including platforms such as Atlan and Unity Catalog
    • Drive completeness and accuracy of business definitions, lineage, and ownership
    • Improve discoverability and usability of enterprise data assets
    • Increase adoption of catalog and governance workflows
  • Governance Integration with Delivery
    • Define how governance and modeling standards are embedded into data engineering workflows
    • Establish standards for certified datasets and trusted data sources
    • Define promotion patterns from raw to curated to published data layers
    • Ensure governance supports efficient delivery and consumption of analytics
What we are looking for:
Minimum Requirements:
  • Bachelor's Degree or equivalent experience
  • 10+ years of experience in data modeling, governance, or data architecture
  • 3+ years of experience managing and developing technical teams
  • Proven experience implementing enterprise data governance programs
  • Strong experience defining and enforcing data modeling standards at scale
  • Experience supporting enterprise analytics and reporting environments
  • Deep expertise in dimensional modeling using star schema for analytics and reporting
  • Strong experience in data governance frameworks and execution
  • Experience with metadata management, lineage, and data catalogs such as Atlan
  • Strong understanding of analytics ecosystems, including Tableau
  • Experience aligning data models with business definitions and reporting requirements
Additional skills and experience that we think would make someone successful in this role (not required):
  • Lakehouse and layered data architectures
  • Data quality frameworks and validation practices
  • Data access controls and governance implementation approaches
  • Modern data platform concepts and workflows

The Right Place for You
We are bold, kind, strive to do the right thing, we play to win, and we believe in a strong community that thrives together. Our culture is rooted in our Basic Beliefs, and we believe in supporting every employee by meeting their physical, emotional, and financial needs.
Stay connected with us on LinkedIn®
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, genetic information, age, national origin, disability status or protected veteran status.

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