Data Analytics Intern – Breakthrough

US VentureAshwaubenon, WI
Onsite

About The Position

Breakthrough is seeking a Summer 2027 Data Analytics Intern to join the Data Analytics team! This internship blends market research, analytics, and data exploration to support business initiatives across transportation supply chains. The intern will contribute to research and analytical projects while leading a capstone Data Analytics project and presenting findings to senior leadership. The ideal candidate is analytical, curious, collaborative, and eager to develop technical and business skills in a fast-paced environment. U.S. Venture’s Internship Program runs May - August 2027. Dates may vary based on individual class schedules. This position is located at our Breakthrough Office in Green Bay, WI.

Requirements

  • Pursuing a degree in Data Science, Analytics, Economics, or a related field.
  • Strong analytical, problem-solving, and communication skills.
  • Comfortable working with data and learning new technologies and tools.
  • Collaborative, curious, and self-motivated with a willingness to take initiative.
  • Must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture’s sponsorship to continue to work legally in the United States.

Nice To Haves

  • Experience with SQL and R or Python for data cleaning, organization, and analysis preferred.
  • Familiarity with business intelligence and analytics tools is a plus.
  • Interest in data visualization, modeling, automation, and leveraging AI tools to improve productivity.

Responsibilities

  • Execute a capstone Data Analytics project and present results to senior leadership.
  • Support research and market intelligence initiatives focused on fuel, freight, and sustainability.
  • Query, clean, analyze, and visualize data for both internal and client-facing analytics.
  • Assist with data analytics initiatives, including data cleansing, data modeling, and building scalable deployable analytical outcomes.
  • Document analytical processes and contribute to continuous improvement efforts.
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