AI & Analytics Intern: Build Automation & Insights

Charter Dura-Bar, Inc.; Milwaukee (WI); On-site; USD 22,000 - 30,000; Part time

Benefits offered by this job

Paid internship

Job summary

Charter Manufacturing seeks an Automation & Analytics Intern to gain hands-on experience applying AI, automation, and analytics to real business challenges at Milwaukee, WI.

You'll collaborate with business and manufacturing teams, prepare data for reporting, and build workflows using tools like ChatGPT, Alteryx, SQL, Snowflake, Python, Power Automate, and Tableau. The program runs year‑round with a mix of part‑time and full‑time periods during the year.

Qualifications

• Enrolled in a four-year degree program in Business Analytics, CS, IS or IT Management.
• Current Sophomore status or higher and a minimum 2.75 GPA.
• Proficient with Excel, Word and PowerPoint; strong communication skills.

Responsibilities

• Partner with business and manufacturing teams to understand processes and opportunities.
• Identify AI, automation, and analytics solutions to improve efficiency.
• Prepare and validate data for reporting, analytics, and AI initiatives.
• Develop workflows using ChatGPT, Alteryx, SQL, Snowflake, Python, Power Automate, Tableau.
• Create reusable AI prompts and tools to streamline work.
• Document processes and maintain best practices.
• Test solutions with end users, gather feedback, and iterate.

Skills

Excel

Word

PowerPoint

Communication

Interpersonal

Teamwork

Multitasking

Education

Four-year degree program enrollment

Tools

ChatGPT

Alteryx

SQL

Snowflake

Python

Power Automate

Tableau

Job description

Charter Manufacturing seeks an Automation & Analytics Intern to gain hands-on experience applying AI, automation, and analytics to real business challenges at Milwaukee, WI.

You'll collaborate with business and manufacturing teams, prepare data for reporting, and build workflows using tools like ChatGPT, Alteryx, SQL, Snowflake, Python, Power Automate, and Tableau. The program runs year‑round with a mix of part‑time and full‑time periods during the year.