Pacific Gas and Electric Company

Principal Quantitative Analyst – Energy Policy, Procurement

Pacific Gas and Electric Company

full-time

Posted on:

Location Type: Hybrid

Location: Oakland • California • 🇺🇸 United States

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Salary

💰 $144,000 - $213,400 per year

Job Level

Lead

Tech Stack

SQL

About the role

  • 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.
  • Perform market assessment of supply-side and demand side energy resources for electricity.
  • 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.
  • 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.
  • 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
  • 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, regulatory agencies, consulting firms, or similar organizations
  • Knowledgeable about PG&E’s business model, including interdependencies and interrelationships of the electric and natural gas industries and supply/demand-side businesses
  • Familiarity with California regulatory context for investor-owned utilities
  • Excellent oral and written communication skills, including communicating with technical and managerial audiences
  • Demonstrated experience performing advanced Excel modeling.
  • Working knowledge of Word, PowerPoint, and Power BI.
  • Prior exposure to database management techniques.
  • Working knowledge of advanced applications programming: R, SQL, SAS, Stata, Matlab or other data analysis/statistical software.
Benefits
  • PG&E’s discretionary incentive compensation programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisprobabilistic dispatch modelingproduction simulation modelingquantitative analysisadvanced Excel modelingRSQLSASStataMatlab
Soft skills
communication skillscollaborationproject managementprocess managementanalytical thinkingproblem-solvingdata visualizationpresentation skillscontinuous improvementresearch skills