Intern: Engineering, Data Analyst (Summer 2026)

VolvoGreensboro, NC
110d$17 - $46

About The Position

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. Vehicle Engineering (VE) is part of Volvo Group Trucks Technology (GTT), a division of Volvo Group North America, providing state-of-the-art research, engineering, product planning and project execution to final delivery of complete products and support of the products in the aftermarket. VE is responsible for the integration and development of technologies into a complete truck for all brands within the Volvo Group. We offer integrated solutions to our customers, and we are dedicated to high quality and competitive time to market. As a Data Analyst Intern, you will play a crucial role in extracting actionable insights from our data sets, utilizing your coding expertise to manipulate and analyze data effectively. You will develop methods and tools to bring data and actionable intelligence to development teams to improve our products.

Requirements

  • Must be enrolled and pursuing a degree in Computer Science or related program at an accredited school and have completed 30 semester hours of undergraduate studies.
  • Applicants must have a minimum cumulative grade point average of 2.75.
  • Proficient with programming languages (Python, SQL, etc.)
  • Experience with data visualization (PowerBI, Qlikview, Matplotlib, Bokeh)

Responsibilities

  • Collect, clean, model and analyze data using programming languages and Data Analysis Software
  • Determine and apply the appropriate analytics methodologies.
  • Use Data Analytics Methods to enable stakeholders to make discoveries and take action based on the data.
  • Design, develop, and implement software solutions and programs to facilitate the collection and analysis of data collected from various phases of product development and post sales.
  • Collaborate with Development, Test and Field Engineers.
  • Collaborate in cross-functional analytics community to share findings and best practices.

Benefits

  • Housing assistance
  • Countless career opportunities / internal mobility across our global organization
  • Training and personal development
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