Job Description

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 IIis responsible forbuilding andoperatingthe analytical infrastructure that enables oversight of Generac Home’s internet-connected andfield-installedproducts. This roleleverageslargescale operational, customer, anddigital engagementdata, combined withAI-assisteddevelopment techniques, tomonitorproduct performance, surface emerging risks, and inform bothreal-timeoperations and long-term product strategy.

The Data Analyst II analyzeshigh-volumedata from residential energyproducts, customer service interactions, mobile applications, and subscription platforms to ensure reliable product performance, positive customer experience, and scalable service delivery.

Responsibilities

• Monitorreal-timeoperation and performance ofIoT-enabledandfield installedGenerac products using scalable,data-drivenmonitoring solutions

• Analyze and correlate data across product telemetry, service call center interactions, mobile app engagement, and subscription systems toidentifyemerging issues and experience gaps

• Build, enhance, andmaintainanalytics, dashboards, and alerting systems that surface product, service, and customer experience risks

• ApplyAIassisteddevelopment techniques (e.g., code copilots, automated query generation,assistedroot causeanalysis, anomaly detection) to accelerate insight generation and automation

• Develop, streamline, and document processes todeliveridentified product orcustomerimpactingissues to Customer Service, Operations, and Product Engineering forappropriate triageand response

• Identifyand investigate system irregularities using statistical, analytical, andAI supportedmethods; recommend corrective actions aligned with established guidelines and safety practices

• Collaborate withcross-functionalstakeholders 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, andexecutive-readypresentations 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 supportedworkflows, and measurable outcomes

• Communicate effectively with Service, Operations, Product Engineering,ProductDevelopmentand other internal partners to drive product reliability, service effectiveness, and future improvements

Minimum Qualifications

• 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

Preferred Qualifications

• Experience applying AI ormachine learningtechniques 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 in tracking customer data from subscription, call center, service, and warrantydata

• Experienceanalyzing service call center data, suchas case volumes, call drivers, resolution times, escalations, and repeat contact drivers

• Generalunderstanding ofpower electronics and/or control systems

Knowledge, Skills, and Abilities

• Strong comfort using AI development and analytics tools to accelerate data exploration, querying, automation, and insight generation

• 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

• 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

Physical Demands While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel.

“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.”