This role centers on transforming raw utility and resource data into a strategic roadmap for energy optimization. You will oversee the collection and analysis of consumption data across global facilities, developing the complex forecasting models and dashboards needed to track progress against ambitious carbon reduction targets. By bridging the gap between technical facility data and corporate reporting frameworks, you ensure that every kilowatt-hour and liter of water is accounted for and optimized.
In the high-energy environment of semiconductor manufacturing, efficiency is the primary lever for decarbonization. You will be directly responsible for identifying the load optimization strategies and clean energy transitions required to meet the company’s 100% clean energy by 2035 goal. This is a rare opportunity to apply data science to heavy industrial operations where technical breakthroughs in energy management have a massive, measurable impact on the global electronics supply chain.
This suits someone who blends deep technical proficiency in SQL and Python with a rigorous understanding of GHG accounting and energy markets. You should be a detail-oriented analyst who thrives on finding clarity in complex, large-scale datasets.