Data Analytics Engineer – Reliability

Brunswick Corporation • Fond du Lac, WI

3d

About The Position

As a Data Analytics Engineer – Reliability, you will support data‑driven decision making by transforming PD&E test & validation data, warranty, customer usage and reliability data into clear, actionable insights. This role focuses on strong analytical reasoning and statistical rigor to support engineering, quality, and leadership teams. At Brunswick, we have passion for our work and a distinct ability to deliver. Diversity of thought and experiences is fundamental when imagining the unimaginable. Certain skillsets/experiences are necessary; however, others can be developed along the way. Next is Now! We value growth and development, recognizing that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. Brunswick is a global leader in marine recreation, delivering innovation that transforms experiences on the water and beyond. Our unique, technology-driven solutions are informed and inspired by deep consumer insights and powered by our belief that “Next Never Rests™”. Brunswick is dedicated to industry leadership, to being the best and most trusted partner to our many customers, and to building synergies and ecosystems that enable us to challenge convention and define the future. Innovative, driven, exceptional, authentic and united, these values represent our Employee Value Proposition and are at the heart of how we work together and what differentiates us as an employer of choice.

Requirements

• Bachelor’s degree in a quantitative field (Data Analytics, Statistics, Engineering, or similar)
• 3–6 years of experience in data analytics, BI, reliability, or quality analytics
• Strong analytical, statistical, and problem‑solving skills
• Strong SQL skills; experience with Power BI and/or Tableau
• Working knowledge of Python
• High attention to data accuracy and analytical rigor

Nice To Haves

• Experience with warranty, reliability, durability, or customer usage data
• Familiarity with Power BI data modeling, DAX, or Power Query
• Exposure to Six Sigma, reliability engineering, or quality systems
• Experience working in cross‑functional engineering or operations environments

Responsibilities

• Analyze test & validation data, field performance, and customer usage data to identify trends and emerging reliability risks
• Apply statistical and analytical methods to understand variation, uncertainty, and key drivers
• Develop and maintain Power BI and/or Tableau dashboards and standardized reporting
• Build and validate SQL‑based data sources and support data modeling efforts
• Use Python for deeper analysis, automation, or advanced exploration as needed
• Partner with IT and cross‑functional teams to ensure data quality, consistency, and governance
• Communicate insights clearly to technical and non-technical stakeholders

Benefits

• medical
• dental
• vision
• paid vacation
• 401k (up to 4% match)
• Health Savings Account (with company contribution)
• well-being program
• product purchase discounts

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level