Student Assistant at Novo Nordisk maintaining data tools and analyzing performance across global manufacturing sites. Seeking MSc students with an analytical mindset and data - driven insights.
About the role
- Data Analyst II focused on monitoring IoT-enabled products for Generac. Analyzing data to enhance performance and customer experience with cutting-edge energy technology solutions.
Responsibilities
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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