Senior Quality Analytics Engineer — Data Strategy & Insights

Generac Power Systems Inc.; Waukesha (WI); On-site; USD 110,000 - 160,000; Full time

Job summary

Generac Power Systems Inc. seeks an Analytics Engineer III to lead complex analytics initiatives, shaping data strategy and deploying predictive and analytical solutions that improve product quality, operations, and customer experience.

You will partner with quality, engineering, operations, and leadership to influence decisions, scale self‑service analytics, and mentor teammates while advancing robust data infrastructure across the enterprise.

Qualifications

• Bachelor’s degree in a quantitative field is required; a Master’s degree is preferred.
• 5+ years in analytics with data strategy, BI, and advanced analytics experience.
• Experience with trend analysis, KPI development, statistical analysis, and process improvements preferred.

Responsibilities

• Lead complex analytics initiatives from data strategy to predictive solutions.
• Architect scalable reporting frameworks and dashboards for executive reporting.
• Develop advanced models to identify quality trends, warranty drivers, and operational performance.
• Partner with data engineering to design robust ETL and data infrastructure.
• Automate data processes and standardize KPIs across teams; promote self‑service analytics.
• Mentor junior team members and enable business users with training and tools.

Skills

SQL

Python

Statistical analysis

Data modeling

BI tools

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Analytics, Engineering, Industrial Engineering, or a related field

Tools

Databricks

Power BI

Job description

Generac Power Systems Inc. seeks an Analytics Engineer III to lead complex analytics initiatives, shaping data strategy and deploying predictive and analytical solutions that improve product quality, operations, and customer experience.

You will partner with quality, engineering, operations, and leadership to influence decisions, scale self‑service analytics, and mentor teammates while advancing robust data infrastructure across the enterprise.