Senior Platform & Analytics Analyst

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 Senior Analytics and Platform Analyst will play an important role in driving data-driven decision-making and digital enablement across the organization. You are responsible for delivering actionable insights through a combination of Data Analysis and Insights Generation, Platform Management and Optimization, apply practices for data governance and ETL, Lead projects using machine learning, statistical modeling, and AI analytics for problems like predictive models or anomaly detection. Collaborating with business and IT teams, the analyst will help enable scalable data, analytic solutions - for initiatives in manufacturing operations, supply chain, sales, and product development to improve operational efficiency, and customer/market insights, across the manufacturing value chain. Major Responsibilities The Senior Analyst, Analytics and Platform is responsible for analyzing manufacturing data to create dashboards, reports, and predictive models that identify trends and support optimizations in production, supply chain, and inventory. [... source excerpt omitted ...] ocess improvements and cost reductions. This role supports the integration and optimization of cloud-based data platforms, collaborates with cross-functional teams to define data requirements, and ensures data quality and governance standards are met. The analyst also plays a key role in promoting analytics self-service, supporting tool adoption, and contributing to the ongoing evolution of the enterprise analytics ecosystem. Additional duties include leading advanced analytics projects with machine learning and AI for tasks like predictive maintenance, maintaining data quality and compliance, mentoring junior analysts, and monitoring KPIs to present insights to leadership. Minim [... source excerpt omitted ...] rFlow), and visualization techniques. Problem-solving abilities, communication skills for presenting data to non-technical audiences, and ability to work in teams. Preferred Job Requirements Education Master’s degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field. Certification / License Certification in data analytics or platforms (e.g., Google Data Analytics, Microsoft Certified: Azure Data Engineer, Optimizely, Amplitude, etc.). Experience with IoT data from industrial equipment or SAP, Salesforce, Windchill, etc. Familiarity with lean manufacturing principles or Six Sigma methodologies. Record of implementing analytics solutions