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Afternoon Data Analyst R Programming Jobs in Mentor, OH

The applicant should demonstrate strong coding proficiency in Python or R, with the ability to ... Strong programming skills in Python, including data preparation, statistical analysis, feature ...

Analyst

Cleveland, OH · On-site

$100K - $120K/yr

Senior Data & Platform Engineer (GCP) * Design, build, and maintain SQL-based transformation workflows in BigQuery using Dataform, including dependency management, version control, and reusable ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

... analysis and integration to support AI-driven initiatives - Utilizing programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ...

What experience should you have: * 10-15 years of experience in full scale customer journey and data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

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Data Warehouse Analyst

Cleveland, OH · On-site

$85K - $105K/yr

... developer teams. Ensure that all system development, change control standards and compliance ... Working Knowledge of Data Warehousing, ETL processes and Data Security concepts * Employees must be ...

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 Sep 7, 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 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 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 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, 12% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $73,891 per year, or $35.5 per hour.

Virtual Data Analysis Coach

ACCEL Schools

Cleveland, OH

$45K - $58K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Key responsibilities

  • Support educators and staff in using data to inform instructional practices, improve student outcomes, and guide decision-making.

  • Provide coaching, professional development, and collaborative planning to build staff capacity in data literacy, analysis, and application.

  • Create and maintain dashboards, reports, and visualizations to communicate data insights clearly.


ACCEL Schools rating

5.4

Company rating: 5.4 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

533rd of 643 rated elementary and secondary schools


Job description

About the Team

Gateway Online Academy of Ohio provides a tuition-free, online high school experience for students in grades 9-12. As a Dropout Prevention and Recovery school, Gateway offers a flexible, self-paced environment designed to help students overcome obstacles and earn their high school diploma on their own terms.

The Data Analysis Coach supports educators and staff in using data to inform instructional practices, improve student outcomes, and guide decision-making. This role focuses on building staff capacity in data literacy, analysis, and application through coaching, professional development, and collaborative planning.

Please note – while this is an online school position and all instruction occurs virtually, travel and face to face attendance will be required several times per year to support in person state testing and student events.

ELIGIBILITY: Open to residents of Ohio.

About the Opportunity
  • Provide ongoing coaching and support to teachers, administrators, and staff on data analysis and interpretation.
  • Facilitate the use of student performance data to inform instructional strategies and interventions.
  • Develop and deliver professional development sessions on data literacy, assessment analysis, and data-driven decision-making.
  • Collaborate with school leadership teams to establish data protocols, systems, and cycles of inquiry.
  • Assist in the collection, organization, and analysis of academic and operational data.
  • Support the development and monitoring of school improvement plans using data metrics.
  • Create and maintain dashboards, reports, and visualizations to communicate data insights clearly.
  • Model best practices in data use during team meetings, PLCs (Professional Learning Communities), and instructional planning sessions.
  • Ensure data accuracy, integrity, and compliance with applicable privacy regulations.
  • Perform other duties as assigned to support data-informed practices across the organization.
About You
  • Bachelor's degree in education, Data Analytics, Statistics, Educational Leadership, or a related field (required). 
  • Master's degree in a related field (preferred). 
  • No state-issued license required. A valid teaching or administrative license is preferred but not required. 
  • Minimum of 1–3 years of experience in education, data analysis, or a related field. 
  • Demonstrated experience working with student achievement data and assessment systems. 
  • Experience providing coaching, training, or professional development to adults (preferred). 
  • Strong knowledge of data analysis tools (e.g., Excel, Google Sheets, data dashboards, or BI tools). 
  • Ability to translate complex data into actionable insights for educators. 
  • Excellent communication and facilitation skills. 
  • Strong organizational and problem-solving abilities. 
  • Knowledge of educational assessments, accountability systems, and instructional practices. 
  • Ability to build relationships and work collaboratively with diverse stakeholders. 

Disclaimer:  The position is grant funded on an annual basis.

About Us

"We believe that every child should be able to be anything they want in life, regardless of their birthplace and circumstances." – Ron Packard, CEO & Founder

ACCEL Schools is a network of 80+ high-performing, public charter schools serving PK-12 students. We proudly advocate for school choice and work to address educational inequities throughout the United States. Our schools are inclusive and widely differ to reflect the unique values of the many urban, suburban, and rural communities we serve. Our brick-and-mortar, virtual, and hybrid schools specialize in closing educational gaps and offer innovative models such as career-technical education, sports training, bilingual programming, and more. We have been recognized and praised by legislators, authorizers, and researchers for providing exceptional education options to students in historically under-resourced communities.

We offer the following benefits:

Compensation and Benefits: The compensation and benefits information below is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. 
  
The annual starting salary for this position is between $45,000 – $58,000 annually. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. 

Life benefits – time & peace of mind

  • Paid time off
  • Retirement contributions
  • Optional Basic Life and AD&D insurance
  • Voluntary life insurance (employee, spouse, child)
  • Discounted childcare at Early Learning Academies locations

Health benefits – stay well & thrive

  • Medical, dental, and vision insurance
  • Employee Assistance Program
  • Voluntary short-term disability insurance
  • Voluntary long-term disability insurance

Career benefits – keep growing

  • Career advancement opportunities throughout Pansophic Learning and our strong network of 4,000+ instructors and education professionals

EQUAL EMPLOYMENT OPPORTUNITY

It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based solely on a person's race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition, genetic information, sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.


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