Senior Manager Data Analytics Jobs in Milwaukee, WI

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.

• 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.

Education

• Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field.

Work Experience

• 5+ years in data analytics, with at least 3 years in a senior or lead role.

Knowledge / Skills / Abilities

• 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, communication skills for presenting data to non-technical audiences, and ability to work in teams.

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 with business impacts, such as cost savings or efficiency gains.

Work Experience

• Experience in manufacturing, consumer goods, or industrial sectors.

• Familiarity with lean manufacturing principles or Six Sigma methodologies.

• Record of implementing analytics solutions with business impacts, such as cost savings or efficiency gains.

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."