Data Analyst II

Generac•Waukesha, WI

15h

About The Position

We are Generac, a leading energy technology company committed to powering a smarter world. Over the 60 plus years of Generac’s history, we’ve been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries. The Data Analyst II is responsible for building and operating the analytical infrastructure that enables oversight of Generac Home’s internet - connected and field- installed products. This role leverages largescale operational, customer , and digital engagement data, combined with AI - assisted development techniques, to monitor product performance, surface emerging risks, and inform both real-time operations and long - term product strategy. The Data Analyst II analyzes high - volume data from residential energy products , customer service interactions, mobile applications, and subscription platforms to ensure reliable product performance, positive customer experience, and scalable service delivery.

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
Strong comfort using AI development and analytics tools to accelerate data exploration, querying, automation, and insight generation
Ability to integrate and analyze data across operational, customer service, digital, and product telemetry sources to form end-to-end insights
Ability to critically evaluate AI generated outputs and apply domain knowledge to ensure accuracy, safety, and relevance
Proficient in data analysis, modeling, and reporting using analytics platforms (Snowflake, databricks , PowerBI , and Tableau)
Experience writing and optimizing queries using SQL or NoSQL database technologies
Experience with Tableau, BI toolsets, or Python based analytics environments
Creative, motivated, and self-directed with the ability to perform in fast paced environments
Strong attention to detail with a customer focused mindset
Superior written and verbal communication skills, including the ability to translate complex analytics into actionable business insights

Nice To Haves

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, timeseries, event based , or streaming data from connected devices (IoT)
Experience i n 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
General understanding of p ower electronics and/or control systems
Experience working with mobile application usage data , including user engagement, feature adoption, behavioral funnels, and performance signals tied to connected products
Experience tracking and analyzing subscription and customer lifecycle data , including segmentation, activation, engagement, renewals, churn indicators, and revenue adjacent metrics

Responsibilities

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