Generac Power Systems-posted 4 months ago
Senior
Waukesha, WI
5,001-10,000 employees

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.

  • Analyzing manufacturing data to create dashboards, reports, and predictive models that identify trends and support optimizations in production, supply chain, and inventory.
  • Managing analytics platforms like Power BI and Databricks, ensuring data integrity, scalability, security, and effective ETL processes.
  • Collaborating with cross-functional teams in manufacturing, Engineering ops, Marketing & sales to translate business needs into technical solutions.
  • Providing data-driven recommendations for process improvements and cost reductions.
  • Supporting the integration and optimization of cloud-based data platforms.
  • Defining data requirements and ensuring data quality and governance standards are met.
  • Promoting analytics self-service and supporting tool adoption.
  • 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.
  • Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field.
  • 5+ years in data analytics, with at least 3 years in a senior or lead role.
  • Proficiency in SQL, Python, R, or similar languages for data manipulation and analysis.
  • Expertise in analytics platforms and tools (e.g., Power BI, AWS/GCP/Azure cloud services, Databricks).
  • Knowledge of data lakehouse and warehousing architectures, ETL processes, data management practices.
  • Experience with statistical modeling, machine learning frameworks (e.g., scikit-learn, TensorFlow), and visualization techniques.
  • Problem-solving abilities and communication skills for presenting data to non-technical audiences.
  • Ability to work in teams.
  • Master’s degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field.
  • 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 with business impacts, such as cost savings or efficiency gains.
  • Experience in manufacturing, consumer goods, or industrial sectors.
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