Principal Quantitative Analyst - Energy Policy & Procurement

About the position PG&E is seeking a highly motivated Principal Analyst with experience in electric portfolio forecasting analytics, generation portfolio simulation modeling, scenario analysis, data visualization, data management, utility business model, and business process management. The Analyst will work closely with stakeholders to develop clean energy, emissions and reliability position forecasts associated with PG&E’s generation portfolio to ensure PG&E meets ambitious climate and energy reliability goals. The Analyst will generate high-value business insights by identifying, framing, and executing analyses related to the business impacts of forecasts, including driving decisions on PG&E’s long-term energy procurement to reach 100% greenhouse gas-free (GHG-Free) by 2045. As part of this work the Analyst will systematically evaluate and recommend improvements to the forecasting process, models, inputs, and platforms for production and delivery of forecasts, and will work closely with commercial and strategy teams across the organization. The candidate will be capable of developing and managing cross-functional projects, products, or processes. The candidate will also have excellent written and verbal communication skills with demonstrated experience informing and influencing senior leadership and external stakeholders. This position is hybrid, working from your remote office and your assigned work location based on business need. The work location is Oakland, CA. PG&E is providing the salary range that can reasonably be expected for this position at the time of the job posting. This salary range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The decision will be made on a case-by-case basis related to these factors. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs. A reasonable salary range is: Bay Area: $144,000.00 to $213,400.00 Responsibilities

• Forecasting : Develop generation and compliance forecasts for PG&E’s clean energy, emissions and reliability positions. This includes developing and managing simulation modeling to account for identified uncertainties that impact PG&E’s electric generation portfolio. Ensure that the forecast is systematically and appropriately integrated into long-term planning strategy as well as policy and planning processes. Conduct research to inform/validate inputs, assumptions, and scenarios. Conduct market and policy research to identify critical uncertainties and inform the key inputs, assumptions, and the range of scenarios to be forecasted. Collaborate closely with commercial and strategy teams to drive informed commercial decision making.
• Market Intelligence and Assessment: Perform market assessment of supply-side and demand side energy resources for electricity.
• Analysis : Produce analytics that guide PG&E’s resource, infrastructure, and strategic planning as well as public policy position development. The successful candidate will have a broad understanding of the California utility regulatory context and PG&E’s business model to help contextualize the forecasts. Communicate results to client organizations through effective data visualization and presentation materials.
• Continuous Improvement : Drive continuous improvement to increase the efficiency, persuasiveness, and pervasiveness of electric portfolio forecasting. Provide support for the development and implementation of a roadmap to systematically identify improvements to the forecasting processes, analytics, inputs, and capabilities. Research and document forecasting best practices, client use-cases, product specifications, analytical methods, processes, and platforms for production and delivery of forecasts.
• Policy Advocacy : Assist in developing analysis and testimony, including work papers and exhibits, to support policy position development with respect to forecasting. Review, analyze, and respond to interveners' testimony, comments, etc. to ensure the best possible outcome.

Requirements

• Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business or equivalent field.
• Job-related experience 8 years, OR Master’s Degree and 7 years job-related OR Doctorate and 5 years Nice-to-haves
• Advanced degree in a relevant discipline
• Demonstrated experience performing energy-related quantitative analysis, probabilistic dispatch modeling, production simulation modeling, technology market or program assessments or similar functions
• Demonstrated project, process or product management experience
• Three years working at electric or natural gas utilities, independent power producers, wholesale energy market participants, regul

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