Mercury Marine: Data Analytics Internship at Brunswick in Fond du Lac, WI

Job description

Are you ready for what’s next? Come explore opportunities within Brunswick, a global marine leader committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes “Next Never Rests™,” and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation. Mercury Marine- Fond Du Lac, WI- Mercury Marine: Data Analytics Co-Op Location: Plant 3- Fond Du Lac, Wi Workplace Category: Onsite Travel Required: Local only Direct Reports: No 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. Relocation: Yes Innovation is the heart of Brunswick. See how your contributions will help transform vision into reality: Position Overview: As part of the talented Customer Experience (CX) Data Analytics team, you will support a wide range of data engineering, analytics, and research initiatives that drive decision-making across Mercury Marine. This role offers exposure to the full data lifecycle—from building pipelines to uncovering insights in rich telemetric datasets—and the opportunity to present your findings to stakeholders across the organization. At Brunswick, we have passion for our work and a distinct ability to deliver. Essential Functions: Build and maintain data processing and enrichment pipelines using Microsoft Fabric/Synapse Explore and analyze telemetric datasets to discover actionable insights that support engineering, manufacturing, and CX teams Respond to ad-hoc data requests to support and facilitate day-to-day business decisions Apply statistical methods and research techniques to solve analytical problems Present findings and recommendations to team members and stakeholders through reports and presentations Diversity of thought and experiences is fundamental when imagining the unimaginable. Certain skillsets/experiences are necessary; however, others can be developed along the way. Required Qualifications Currently in the final year of an undergraduate or graduate program in Data Science, Computer Science, Statistics, or a related field (completing coursework or nearing graduation) Foundational skills in statistics, programming, database querying, and data visualization Exposure to AI concepts such as building agents, prompt engineering, or machine learning workflows Eagerness to deepen expertise in one or more of these areas through hands-on project work Preferred Qualifications Experience with Microsoft Fabric, Synapse, or similar cloud data platforms Coursework or projects involving time-series, IoT, or telemetric data Comfortable communicating technical findings to non-technical audiences Experience building or maintaining agentic AI workflows Working Conditions 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 range from supporting larger projects to handling smaller, individual assignments. Hours: Co-ops and Interns are expected to work 20–40 hours per week, depending on student availability and workload. Feedback and Performance Reviews: As a co-op or intern, you will receive feedback and performance reviews throughout your assignment. We value the importance for interns to understand their progress and areas for improvement. The pay range for this position is $18.00-27.50 per hour. The actual hourly rate offered will vary depending on multiple factors including year in school/credits earned, degree, job-related knowledge/skills, relevant experience, business need