Data Analytics Engineer – Reliability

Brunswick Corporation; Fond du Lac (WI); On-site; USD 86,500 - 139,300; Full time

Benefits offered by this job

Annual discretionary bonus

Comprehensive benefits including medical, dental, and vision

401(k) up to 4% match

Well-being program

Product purchase discounts

Job summary

Dormont Manufacturing Co is looking for a Data Analytics Engineer – Reliability to enhance data-driven decisions by transforming warranty and usage data into actionable insights. The role involves analyzing trends, developing dashboards, and ensuring data quality across teams.

The ideal candidate will possess a Bachelor's degree in a quantitative field, along with 3-6 years of relevant experience. Strong analytical and SQL skills are essential. Compensation ranges from $86,500 to $139,300 annually, with benefits including bonuses, medical, and 401(k) matching.

Qualifications

• Bachelor’s degree in Data Analytics, Statistics, Engineering, or similar.
• 3-6 years of experience in data analytics or reliability.
• Strong attention to data accuracy.

Responsibilities

• Analyze warranty and performance data to identify trends.
• Develop and maintain dashboards in Power BI/Tableau.
• Communicate insights to stakeholders.

Skills

Analytical skills

Statistical skills

SQL proficiency

Experience with Python

Power BI and/or Tableau

Education

Bachelor’s degree in a quantitative field

Tools

Power BI

Tableau

SQL

Python

Job description

Position Overview

As a Data Analytics Engineer – Reliability you will support data-driven decision making by transforming warranty, customer usage, and reliability data into clear, actionable insights. This role focuses on strong analytical reasoning, statistical rigor, and building trusted dashboards and data products to support engineering, quality, and leadership teams.

Essential Functions

• Analyze warranty, 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

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

Compensation & Benefits

The hiring range for this position is $86,500 - $139,300 annually. In addition to base pay, this position is eligible for an annual discretionary bonus and participation in Brunswick’s comprehensive benefits, including medical, dental, vision, paid vacation, 401(k) up to 4% match, Health Savings Account, well-being program, product purchase discounts, and more.

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 skills combined with passion is key to innovation and inspiration and we encourage individuals from all backgrounds to apply. If you require accommodation during the application or interview process, please contact [e-mail] for support.