Data Analytics Engineer - Reliability

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.

Location:

Fond du Lac, Wisconsin

Workplace Category:
Hybrid

Travel Required:

None

Direct Reports:
No

Pay Range: $86,500 - $139,300 annually.

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 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.

Essential Functions:

* 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

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:

* 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

Preferred Qualifications:

* 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

The hiring range for this position is $86,500 - $139,300 annually. The actual base pay offered will vary based on multiple factors including job-related knowledge/skills, relevant experience, business needs, and geographic location. Compensation decisions are dependent upon the specifics of the candidate's qualifications and the business context.

In addition to base pay, this position is eligible for an annual discretionary bonus. This position is eligible to participate in Brunswick's comprehensive and high-quality benefits offerings, including medical, dental, vision, paid vacation, 401k (up to 4% match), Health Savings Account (with company contribution), well-being program, product purchase discounts and much more. Details about our benefits can be found here.

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 an Equal Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by federal, state, or local law. Diversity of experience and…