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Data Analysis Intern Jobs in Ohio (NOW HIRING)

Metallus

Financial Planning & Analysis Intern

Canton, OH · On-site

$19.25 - $33.50/hr

The FP&A Intern supports the finance team in budgeting, forecasting, and business analysis ... Supporting financial modeling, reporting, and data analysis * Partnering with operational teams to ...

Metallus

Financial Planning & Analysis Intern

Canton, OH · On-site

$19.25 - $33.50/hr

The FP&A Intern supports the finance team in budgeting, forecasting, and business analysis ... Supporting financial modeling, reporting, and data analysis * Partnering with operational teams to ...

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How much do data analysis intern jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data analysis intern in Ohio is $21.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $23.32 per hour, depending on experience, location, and employer.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What are the key skills and qualifications needed to thrive as a data analysis intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

What is the difference between Data Analysis Intern vs Data Analyst?

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with tools like Excel, SQL, and Python, and helps develop skills in data visualization and reporting. It can enhance a resume, improve job prospects, and offer networking opportunities, making it a valuable step for those pursuing a career in data analysis.
More about Data Analysis Intern jobs

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Data Analysis Intern jobs near you
Infographic showing various Data Analysis Intern job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $44,501 per year, or $21.4 per hour.

Business Data Analyst Intern - Hybrid

Cleveland, OH • On-site

TransTech Group
See more jobs at TransTech Groupexternal

Other

Posted 9 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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