Generac is looking to drive data-driven decision-making and digital enablement across the organization by leveraging data analysis, platform management, and advanced analytics to improve operational efficiency, customer insights, and cost reductions.
Requirements
- 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.
- 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.
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.
- They manage analytics platforms like Power BI, and Databricks, ensuring data integrity, scalability, security, and effective ETL processes.
- Collaboration with cross-functional teams in manufacturing, Engineering ops, Marketing & sales involves translating business needs into technical solutions and providing data-driven recommendations for process 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.
Other
- 5+ years in data analytics, with at least 3 years in a senior or lead role.
- Problem-solving abilities, communication skills for presenting data to non-technical audiences, and ability to work in teams.
- Record of implementing analytics solutions with business impacts, such as cost savings or efficiency gains.
- 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.
