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Afternoon Data Analyst R Programming Jobs in Solon, OH

You'll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You'll leverage data ...

Data Science Tutor

Cleveland, OH · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Akron, OH · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Analytics Engineer

Cleveland, OH · On-site +1

$110K - $133K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data ... R, AWS Cloud Services (Cloudwatch ,EC2, EMR, Redshift, Athena,Glue) etc * Ability to multitask ...

Data Strategy-Manager

Cleveland, OH · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Project Analyst

Cleveland, OH · On-site

$68K - $83K/yr

Use tools such as Excel, Power BI, Power Query, R, Python, VBA, automation, or AI, as appropriate ... Bachelor's degree in data analytics, science, engineering, or a related field. * 0-2 years of ...

Project Analyst

Cleveland, OH · On-site

$60 - $80/hr

Use tools such as Excel, Power BI, Power Query, R, Python, VBA, automation, or AI, as appropriate ... Bachelor's degree in data analytics, science, engineering, or a related field. * 0-2 years of ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Solon, OH salary details

$31.6K

$76.8K

$126.4K

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 Solon, OH is $76,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $90,200.00 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 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in Solon, OH?

For Afternoon Data Analyst R Programming jobs in Solon, OH, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Solon, OH look for?

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

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

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Solon, OH as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,824 per year, or $36.9 per hour.

Business Data Analyst Intern - Hybrid

TransTech Group

Cleveland, OH • On-site

Other

Posted 19 days ago


Job description

TransTech Group

Internship – Business Data Analyst, AI & Fabric

Position Title: Internship – Business Data Analyst, AI & Fabric

Reports To: Manager of Business Analysis and Process

Location: Chagrin Falls, OH (Hybrid)

Hours: 32 hours/week

Compensation: Paid internship

Company Overview

TransTech is a leading provider of specialized infrastructure and custom-engineered equipment for diverse industries. Our expansive capacity and technical expertise enable large-scale production of complex, high-quality equipment while meeting rigorous quality and safety standards.

TransTech’s companies provide comprehensive solutions for gas and liquid processing, storage, transfer, and utilization, adhering to ASME, API, and TEMA standards to ensure reliability and precision in every project.

From individual services to full project solutions, TransTech’s teams deliver expert engineering, fabrication, construction, operations and maintenance, supporting projects nationally and internationally. We help customers achieve impactful, sustainable results with a commitment to safety, community, and environmental responsibility.

Job Summary

TransTech is seeking a Business Data Analyst Intern to support reporting, analytics, automation, and emerging AI initiatives in our Microsoft Fabric environment. With core business data now centralized in Fabric, this role will help turn that data into useful reporting, insights, and scalable business solutions.

The intern will work closely with the Manager of Business Analysis and Process and the Business Data Analyst, collaborating with both business and technical teams. You'll support Power BI reporting, help validate and organize data, assist with automation opportunities, and contribute to early AI-related projects — hands-on experience with modern enterprise analytics tools in a manufacturing and engineering environment.

What You'll Gain

  • Hands-on experience working in a live Microsoft Fabric and Power BI environment
  • Exposure to real business reporting and analytics across Finance, Operations, Supply Chain, and Project Management
  • Direct experience supporting data quality, automation, and emerging AI initiatives
  • The chance to contribute to meaningful business solutions in a manufacturing and engineering setting
  • Practical, cross-functional experience as part of a broader digital transformation effort
  • Mentorship from a Manager of Business Analysis and Process and a Business Data Analyst

Key Responsibilities

Reporting and Analytics Support

  • Assist in developing, updating, and maintaining Power BI dashboards and reports for business users.
  • Support reporting and analysis across Finance, Operations, Supply Chain, Project Management, and other functions.
  • Help users validate report outputs and confirm that business requirements are met.
  • Assist with recurring reporting, KPI tracking, and ad hoc analysis to support decision-making.

Microsoft Fabric Support

  • Work with curated data already available in Microsoft Fabric to support reporting and analysis needs.
  • Assist with organizing and maintaining Fabric assets such as semantic models, dataflows, reports, and related objects.
  • Help validate data accuracy, consistency, and usability for business reporting.
  • Support documentation of data definitions, report logic, and business rules used within the Fabric environment.

Data Quality and Business Support

  • Help identify data issues, missing values, inconsistencies, and opportunities to improve reporting reliability.
  • Assist in reconciling data across business processes and reports.
  • Support meetings with business users to understand reporting needs and follow up with analysis.
  • Help document metrics, requirements, and process improvements related to analytics initiatives.

Automation and AI Support

  • Assist with business process improvement opportunities that use Power Automate, reporting workflows, or AI-enabled solutions.
  • Support early AI use cases by helping organize source data, document needs, and participate in testing.
  • Assist with document-based or workflow-based pilot efforts where AI may help improve efficiency or reduce manual effort.
  • Work with internal teams and external partners to support implementation and testing of new analytics and AI solutions.

General Analytics Support

  • Help answer business questions using Excel, SQL, Power BI, or Fabric-based datasets.
  • Assist with special projects related to digital transformation, enterprise reporting, and operational analytics.
  • Contribute to a growing data and AI program by supporting both day-to-day reporting needs and longer-term capability building.

Preferred Qualifications

  • Familiarity with Excel, Power BI, SQL, Python, or other data analysis tools.
  • Strong attention to detail and interest in business data, reporting, and process improvement.
  • Exposure to Microsoft Fabric, Power Platform, SharePoint, or related Microsoft technologies is a plus.
  • Curious, detail-oriented, and eager to learn about data systems in a real-world business setting.

Education / Experience

  • Currently pursuing a Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, Finance, Engineering, or a related field.


This organization provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.


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