Business Data Analyst Intern - Hybrid

TransTech Energy
Cleveland, Ohio, United StatesPosted Sep 15, 2026
Data Science / ML

About the role

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

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