Quality Analytics Engineer III (Power Generation)

Location: Waukesha, WI, United States; onsite.

Company

hirify.global develops solutions for home protection, business resilience, and sustainable energy systems.

What you will do

• Partner with quality, engineering, operations, and executive leaders to identify analytics opportunities and lead requirements gathering for complex cross-functional initiatives.
• Architect scalable reporting frameworks and advanced data models across quality, warranty, manufacturing, supplier, and operational analytics.
• Develop predictive and statistical models to identify quality trends, warranty drivers, failure patterns, process variation, anomalies, and emerging product risks.
• Design and validate analytical studies for corrective actions, process improvements, quality initiatives, and operational performance outcomes.
• Partner with data engineering on ETL processes, scalable infrastructure, data architecture improvements, and real-time data integrations.
• Automate data processes, standardize KPIs and reporting methodologies, promote data governance, and mentor junior team members and business users in self-service analytics.

Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, Analytics, Engineering, Industrial Engineering, or a related field.
• 5+ years of experience in analytics, including significant experience with data strategy, business intelligence, or advanced analytics.
• Experience supporting quality, warranty, manufacturing, reliability, operational performance, or continuous improvement initiatives through data-driven insights.
• Expert-level SQL and Python or R.
• Deep experience with data modeling, cloud platforms such as Databricks, and large-scale data systems.
• Advanced proficiency with BI tools and statistical modeling packages.
• Experience developing dashboards, scorecards, and analytical solutions for quality and operational decision-making.
• Experience with power generation development and technology.
• Strong stakeholder management, influence without authority, executive communication, and the ability to translate complex analytics into business strategy and data-driven recommendations.

Nice to have

• Master's degree in a quantitative field.
• Experience with trend analysis, root cause analysis, KPI development, statistical analysis, and process improvement methodologies.

Culture & Benefits

• Onsite work in Waukesha, Wisconsin.
• Regular computer-based work involving sitting, close vision, and adjustment of focus.
• Physical duties include standing and walking, manipulating objects or controls, and occasionally lifting 25–50 pounds.
• Equal opportunity employment is provided without discrimination based on protected characteristics.