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Afternoon Data Analyst R Programming Jobs in Mentor, OH

Data Scientist

Mentor, OH · Hybrid

  • Medical

  • Retirement

  • PTO

Bachelor's or Master's degree (preferred) in computer science, software engineering, business analytics, applied mathematics, statistics, machine learning, or a data-centric discipline. * Experience ...

Data Scientist

Mentor, OH · On-site

$77K - $116K/yr

  • Medical

  • Retirement

  • PTO

Bachelor's or Master's degree (preferred) in computer science, software engineering, business analytics, applied mathematics, statistics, machine learning, or a data-centric discipline. * Experience ...

Google Senior Data Engineer

Cleveland, OH · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

New

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... programming skills in Python and/or SQL Understanding of data engineering concepts (ETL/ELT, data ... analytical and problem-solving skills Attention to detail and data quality Ability to work with ...

AI Engineer

Cleveland, OH · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... data analysis techniques to discern patterns and trends - Collaborating with team members to ...

Perform exploratory data analysis, statistical analysis, hypothesis testing, experimental design, feature engineering, predictive modelling, and optimization. * Develop supervised and unsupervised ...

Data Engineer III

Cleveland, OH · Hybrid

$80K - $125K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

As a Data Engineer (Analytics Specialist), you will build robust data warehouse/marts/sets which will enable business users to make informed decisions. You will use advanced SQL tools to move large ...

Data Engineer III

Cleveland, OH · On-site

$80K - $125K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Overview As a Data Engineer (Analytics Specialist), you will build robust data warehouse/marts/sets which will enable business users to make informed decisions. You will use advanced SQL tools to ...

Data Engineer III

Cleveland, OH · Hybrid

$80K - $125K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Overview As a Data Engineer (Analytics Specialist), you will build robust data warehouse/marts/sets which will enable business users to make informed decisions. You will use advanced SQL tools to ...

... Analytics and AI * Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value.

... Analytics and AI * Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value.

Data Management Engineer - OpenText

Cleveland, OH · On-site

$111K - $133K/yr

We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring ... Join our AI & Engineering team in transforming technology platforms, driving innovation, and ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Mentor, OH salary details

$30.4K

$73.9K

$121.6K

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

As of Aug 14, 2026, the average yearly pay for afternoon data analyst r programming in Mentor, OH is $73,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $86,700.00 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 Mentor, OH look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Mentor, OH are:

What cities near Mentor, OH are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Mentor, OH with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Mentor, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $73,891 per year, or $35.5 per hour.

Data Scientist

Avery Dennison

Mentor, OH • Hybrid

Full-time

Medical, Retirement, PTO

Re-posted 20 days ago


Avery Dennison rating

9.1

Company rating: 9.1 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

2nd of 119 rated packaging manufacturers


Job description

Company Description

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste and mitigate loss, advance sustainability, circularity and transparency and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2025 were $8.9 billion. Learn more at www.averydennison.com.

At Avery Dennison, some of the great benefits we provide are:

  • Health & Wellness benefits starting on day 1 of employment
  • Paid parental leave
  • 401K eligibility
  • Tuition reimbursement
  • Employee Assistance Program eligibility / Health Advocate
  • Paid vacation and Paid holidays
Job Description

Position Status: On-site/Hybrid based in Mentor, OH

  • Internal Collaboration & Cross-Functional Partnership: Partner with IT, Operations, and Engineering to learn the system architecture enabling Quality processes and identify key pain points with fragmented data and systems.

  • Project Technical Leadership: Work closely with a project manager to align on milestones and objectives, developing, deploying, and maintaining data-driven applications and services aligned with a strategic digital roadmap.

  • IT Engagement & Requirements Translation: Translate Quality business requirements into clear technical specifications, directing relevant IT teams and resources to develop and deploy production-ready data pipelines.

  • Data Collection, Cleaning & Modeling: Formulate data gathering methodologies, write SQL queries, and define data assets, models, and pipelines to clean, manipulate, and organize data for robust analytics and future AI deployments.

  • Exploratory Data Analysis, Testing & Validation: Use statistical techniques and visualization tools to discover patterns and insights, rigorously test models to ensure high-quality outputs, and support training on new digital solutions.

Qualifications
  • Education: Bachelor’s or Master’s degree (preferred) in computer science, software engineering, business analytics, applied mathematics, statistics, machine learning, or a data-centric discipline.

  • Experience: 4+ years of relevant industry experience in advanced analytics and software development.

  • Technical Proficiency: Strong skills in multiple programming languages including Python, SQL, Javascript, HTML, and CSS, with experience writing complex queries and optimizing relational database performance.

  • Analytical Skills: Advanced analytics expertise in descriptive statistical modeling, machine learning algorithms, predictive analytics, and data visualization tools like Matplotlib, Tableau, Cognos, or Graphana.

  • Systems Knowledge: Familiarity with cloud data ecosystems (GCP, AWS, Azure), workflow automation, Oracle ERP/Analytics business data reporting, or manufacturing execution systems (MES/SCADA/historian databases).

The salary range for this position is $77,775 - $116,144 / year. The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate’s relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.

#LI-Hybrid


Additional Information

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines.

As part of our commitment to maintaining a safe and productive work environment, Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local, state, and federal laws. 

Reasonable Accommodations Notice

If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact (440) 534-6000 or NA.TA.Operations@averydennison.com to discuss reasonable accommodations.


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