Data Analytics Engineer – Reliability

Brunswick Corporation•Fond du Lac, WI

4d•Hybrid

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.

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