Data Analyst II

Role Overview

• Monitor real-time operation and performance of IoT-enabled and field installed Generac products using scalable, data-driven monitoring solutions
• Analyze and correlate data across product telemetry, service call center interactions, mobile app engagement, and subscription systems to identify emerging issues and experience gaps
• Build, enhance, and maintain analytics, dashboards, and alerting systems that surface product, service, and customer experience risks
• Apply AI assisted development techniques (e.g., code copilots, automated query generation, assisted root cause analysis, anomaly detection) to accelerate insight generation and automation
• Develop, streamline, and document processes to deliver identified product or customer impacting issues to Customer Service, Operations, and Product Engineering for appropriate triage and response
• Identify and investigate system irregularities using statistical, analytical, and AI supported methods; recommend corrective actions aligned with established guidelines and safety practices
• Collaborate with cross-functional stakeholders to define analytical goals, success metrics, and monitoring strategies spanning product performance, service efficiency, and customer engagement
• Provide regular updates to stakeholders through analytics reviews, operational readouts, and executive-ready presentations highlighting trends, risks, and opportunities
• Report progress against product and analytics roadmaps, including monitoring coverage, automation targets, and insights across current and legacy product generations
• Create documentation outlining identified issues, analytical tools, AI supported workflows, and measurable outcomes
• Communicate effectively with Service, Operations, Product Engineering, Product Development and other internal partners to drive product reliability, service effectiveness, and future improvements

Requirements

• B.S. degree in a STEM field and 2–4 years of related experience, or M.S. degree in a STEM field and 0–2 years of related experience, or an equivalent combination of education and relevant experience
• Experience applying AI or machine learning techniques for anomaly detection, forecasting, customer behavior modeling, or operational monitoring
• Firm understanding and practical application of statistical concepts
• Experience working with largescale, time series, event based, or streaming data from connected devices (IoT)
• Experience in tracking customer data from subscription, call center, service, and warranty data
• Experience analyzing service call center data, such as case volumes, call drivers, resolution times, escalations, and repeat contact drivers

Tech Stack

• IoT

Benefits

• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Opportunities for professional development