Hybrid Reliability Data Analytics Engineer

Brunswick Corporation

United States

Hybrid

USD 87,000 - 139,000

Full time

12 days ago

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Benefits offered by this job

Annual discretionary bonus
Medical, dental, vision
401k with match
Health Savings Account
Paid vacation
Well-being program
Product discounts

Job summary

Brunswick Corporation in Fond du Lac, Wisconsin is seeking a Data Analytics Engineer – Reliability to transform PD&A test & validation data, warranty, and customer usage data into clear, actionable insights. This role emphasizes statistical rigor to support engineering, quality, and leadership teams.

You will develop Power BI and Tableau dashboards, build SQL data sources, and use Python for deeper analysis, with collaboration across IT and cross-functional teams.

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.

Responsibilities

  • Analyze test, validation, field performance, and customer usage data to identify trends and reliability risks.
  • Apply statistical methods to understand variation, uncertainty, and key drivers.
  • Develop and maintain Power BI and 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.

Skills

Strong SQL skills
Python
Analytical thinking
Problem-solving

Education

Bachelor’s degree in a quantitative field (Data Analytics, Statistics, Engineering, or similar)

Tools

Power BI
Tableau
SQL

Job description

Brunswick Corporation in Fond du Lac, Wisconsin is seeking a Data Analytics Engineer – Reliability to transform PD&A test & validation data, warranty, and customer usage data into clear, actionable insights. This role emphasizes statistical rigor to support engineering, quality, and leadership teams.

You will develop Power BI and Tableau dashboards, build SQL data sources, and use Python for deeper analysis, with collaboration across IT and cross-functional teams.

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