Mercury Marine: Data Analytics Internship

Location: Plant 3 – Fond Du Lac, WI. On‑site. Travel: Local only. Relocation: Yes. No visa sponsorship – applicants must be authorized to work in the United States.

Position Overview

As part of the Customer Experience (CX) Data Analytics team, you will support data engineering, analytics, and research initiatives that drive decision‑making across Mercury Marine. The role offers exposure to the full data lifecycle—from building pipelines to uncovering insights in rich telemetric datasets—and the opportunity to present findings to stakeholders.

Essential Functions

• Build and maintain data processing and enrichment pipelines using Microsoft Fabric/Synapse.
• Explore and analyze telemetric datasets to discover actionable insights supporting engineering, manufacturing, and CX teams.
• Respond to ad‑hoc data requests to support 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.

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 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.

Learning Opportunities & Working Conditions

• Hands‑on experience in a professional setting alongside experienced professionals.
• Project work contributing to organizational goals, ranging from supporting larger projects to individual assignments.
• Hours: 20–40 hours per week, depending on student availability and workload.
• Regular feedback and performance reviews throughout the assignment.

Compensation

The pay range for this position is $18.00–$27.50 per hour. The actual hourly rate will vary based on factors such as year in school, degree, relevant experience, and geographic location.