Data Analytics Intern: Telemetry Insights & Pipelines

Brunswick Corporation; Fond du Lac (WI); On-site; USD 25,000 - 39,000; Full time

Job summary

Brunswick Corporation's Mercury Marine, Fond du Lac, WI, is seeking a Data Analytics Co‑op to support data engineering, analytics, and research across the data lifecycle. You will build pipelines, analyze telemetric data, and present insights to stakeholders.

The role offers exposure to tools like Microsoft Fabric/Synapse, with responsibilities spanning data processing, analytics, and ad-hoc requests. Hours range 20–40 per week, with relocation available as needed.

Qualifications

• Currently in the final year of an undergraduate or graduate program in Data Science, Computer Science, Statistics, or a related field.
• 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.

Responsibilities

• Build and maintain data processing pipelines using Microsoft Fabric/Synapse.
• Explore telemetry datasets to uncover actionable insights for engineering, manufacturing, and CX teams.
• Respond to ad-hoc data requests to support day-to-day decisions.
• Apply statistical methods to solve analytics problems.
• Present findings to team members and stakeholders via reports and presentations.
• Hours: Co-ops or interns typically work 20–40 hours per week.

Skills

Statistics basics

Programming basics

SQL querying

Data visualization

AI concepts

Project work

Education

Data Science/CS/Statistics program

Tools

Microsoft Fabric

Azure Synapse

Job description

Brunswick Corporation's Mercury Marine, Fond du Lac, WI, is seeking a Data Analytics Co‑op to support data engineering, analytics, and research across the data lifecycle. You will build pipelines, analyze telemetric data, and present insights to stakeholders.

The role offers exposure to tools like Microsoft Fabric/Synapse, with responsibilities spanning data processing, analytics, and ad-hoc requests. Hours range 20–40 per week, with relocation available as needed.