Global Supply Chain Analytics & Insights Intern
Listed on 2026-08-30
-
IT/Tech
Data Analyst, Business Systems & Technology Analysis, Data Science Manager, Data Engineering
Mercury Marine - Fond du Lac, WI.
- Global Supply Chain Analytics & Insights Intern
Location:
Fond du Lac
Workplace Category:
Hybrid
Travel Required:
None
Direct Reports:
None
Pay Range: $18.00 - $27.00
Relocation:
Yes
Visa Sponsorship:
Applicants must be currently authorized to work in the United States. This position is not eligible for employment visa sponsorship now or in the future.
As a Global Supply Chain Analytics & Insights Intern, you will gain hands-on experience supporting the development and application of analytics, automation, machine learning, and AI-enabled solutions across Mercury's Global Supply Chain organization. This role will help identify opportunities for data-driven improvement, predictive insights, process optimization, and business value creation. You will partner with the Global Supply Chain Analytics and Insights team to translate business needs into practical analytics solutions that are measurable, ethical, scalable, and operationally relevant.
Candidates with coursework, projects, internships, or student organization experience involving supply chain, business analytics, data science, information systems, process improvement, or emerging technologies are encouraged to apply. At Brunswick, we have passion for our work and a distinct ability to deliver.
- Partner with Global Supply Chain business teams to identify opportunities for data-driven improvement, automation, and advanced analytics.
- Assist in translating business questions into clearly defined use cases, hypotheses, data requirements, and analytical approaches.
- Support the development of dashboards, reports, data models, and analytics tools that help improve supply chain visibility and decision making.
- Contribute to data cleansing, validation, visualization, and analysis activities using Microsoft Excel, Power BI, Python, SQL, or similar tools.
- Help evaluate analytics and AI outputs against business outcomes to ensure solutions are practical, usable, and aligned to operational needs.
- Research analytics best practices, responsible AI concepts, automation opportunities, and emerging technologies that can support Global Supply Chain transformation.
- Support an AI, machine learning, or predictive analytics proof of concept tied to a practical business use case.
- Map and analyze current-state processes to identify inefficiencies, automation opportunities, and future-state improvements for technical and non-technical audiences.
- Develop recommendations and present project findings to Global Supply Chain Analytics & Insights leadership and business stakeholders.
- Currently pursuing a degree in Supply Chain Management, Business Analytics, Data Analytics, Data Science, Information Systems, Computer Science, or a related field.
- Strong analytical, problem-solving, organizational, and communication skills with the ability to explain findings clearly.
- Proficiency in Microsoft Excel and interest in learning tools such as Power BI, SQL, Python, Microsoft Power Platform, or other analytics platforms.
- Ability to work independently while collaborating effectively in a cross-functional, team-oriented environment.
- Coursework or project experience involving analytics, statistics, data visualization, AI, machine learning, or process improvement.
- Experience with Power BI, SQL, Python, Microsoft Power Platform, or other data visualization/analytics tools.
- Exposure to data cleansing, data mapping, workflow documentation, user testing, or business requirements gathering.
- Interest in responsible AI, digital transformation, automation, supply chain optimization, and business partnership.
Learning Opportunities:
Our Student Program is designed to provide hands-on experience in a professional setting. You will work alongside experienced professionals and get a chance to apply your academic knowledge to real-world tasks.
Project Work:
The work environment is supportive, collaborative, and conducive to learning. Student co-ops or interns typically work on specific projects or tasks that contribute to the organization’s goals. This may…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).