Generac

Data Analyst II

Generac

full-time

Posted on:

Location Type: Office

Location: Pewaukee • Wisconsin • United States

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Tech Stack

IoT

About the role

  • 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
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Opportunities for professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysisanomaly detectionmachine learningstatistical analysisAI-assisted developmentdashboard developmentprocess documentationtelemetry analysiscustomer behavior modelingoperational monitoring
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinkingstakeholder engagementpresentation skillsorganizational skillsattention to detailadaptabilitycritical thinking