Quantitative Analyst - Energy Policy & Procurement
Oakland, Alameda County, California, 94616, USA
Listed on 2026-08-30
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Business
Data Scientist -
Energy/Power Generation
Department Overview
Energy Policy & Procurement (EPP) secures electricity and natural gas from wholesale markets for PG&E customers to ensure system reliability. In addition, EPP is responsible for long-term planning, risk management, and compliance functions related to PG&E’s energy portfolio. EPP also actively participates in regulatory and legislative proceedings that shape the design and implementation of state, regional, and federal energy regulation and policy.
PositionSummary
PG&E is seeking a highly motivated Quantitative 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 support development of forecasts of generation and compliance positions associated with PG&E’s clean energy, emissions and reliability positions to ensure PG&E meets ambitious climate and energy reliability goals. The analyst will also support forecasts which inform PG&E’s long-term generation rate forecast. The analyst will support generation of 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.
This position is hybrid, working from your remote office and your assigned work location based on business need. The preferred work location is Oakland, CA.
PG&E is providing the full salary/pay range for this position. The actual amount 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 range to reasonably expect will be between the minimum and the midpoint of the range. Thefinal decision will be made on a case-by-case basis related to the factors above.This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.
Bay Area Minimum: $90,000.00
Bay Area Midpoint: $
Bay Area Maximum: $
Job Responsibilities1. 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.
2. Market Intelligence and Assessment:
Perform market assessment of supply-side and demand side energy resources for electricity.
3. 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.
4. Continuous Improvement:
Drive continuous improvement to increase the efficiency, persuasiveness, and pervasiveness of electric portfolio forecasting. Provide support for the development and implementation of…
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