Lead the development and implementation of Wood Mackenzie's long-term load forecasting capabilities for the US and Canada power markets
Develop and maintain sophisticated, scalable and automated econometric models
Own the end-to-end load forecasting process
Collaborate with internal research teams forecasting discrete demand sources
Produce regular load forecast updates aligned with Wood Mackenzie's publication cycle
Author analytical insights and research on electricity demand trends
Provide expert guidance to clients on load forecasting methodology
Present research findings at industry conferences and client events
Continuously improve forecasting capabilities

5-7 years of direct experience in long-term electricity load forecasting, preferably within a utility, ISO/RTO, regulatory agency, research or consulting environment
Demonstrated expertise in econometric demand modelling, including understanding of key load drivers, regression techniques, time-series analysis, and forecast validation methods
Strong programming and automation skills with proficiency in Python, R, or similar languages
Proficiency in SQL for data extraction and manipulation; experience with Excel and data visualization tools
Proven ability to work with large-scale datasets from diverse sources
Quantitative degree (engineering, economics, statistics, data science, or related field)

Principal Analyst – North America Load Forecasting

Key skills