Expert Quantitative Analyst

PG&E•Oakland, CA
•Hybrid

About The Position

The Expert Quantitative Analyst is part of PG&E’s System Planning team within Energy Policy & Procurement. The team forecasts volumes, costs, and impacts of demand- and supply-side energy resources using an integrated planning approach that considers California’s and PG&E’s electric and gas systems, advanced load management, and bulk generation resources. These forecasts inform PG&E’s business strategy, energy supply portfolios, and financial planning. The analyst will help forecast key elements of energy system planning in a changing California energy landscape, supporting PG&E’s efforts to deliver clean, reliable, and affordable energy. The role develops systems that connect forecasts to PG&E’s strategies and operating plans, supports gas and electric sales forecasting, and applies analytical insights to regulatory filings and proceedings. The position is hybrid, based in Oakland, California, with work performed from a remote office and the assigned work location according to business needs.

Requirements

  • Bachelor’s degree or advanced degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business Analytics, or an equivalent field.
  • Job-related experience of 6 years with a bachelor’s degree; 5 years with a master’s degree; or 3 years with a doctorate.

Nice To Haves

  • Demonstrated experience performing quantitative analysis relevant to energy, climate, infrastructure, technology, customer behavior, or public policy.
  • Proficiency with Microsoft Excel and experience developing clear data visualizations or analytical reporting products.
  • Experience acquiring, cleaning, analyzing, and interpreting complex datasets.
  • Ability to communicate analytical methods, assumptions, and findings clearly to technical and nontechnical audiences.
  • Proficiency with one or more analytical programming or query languages, such as Python, R, SQL, SAS, Stata, or MATLAB.
  • Advanced degree in a quantitative discipline.
  • Experience at a utility, regulatory agency, energy market participant, research organization, consulting firm, technology company, or similar organization.
  • Familiarity with California energy policy and the regulated utility environment.
  • Experience building reproducible analytical workflows, visualization tools, or forecast-production processes.
  • Knowledge and expertise in utility industry resource planning, transmission planning, and CAISO or similar markets.
  • Demonstrated ability to independently design and complete innovative analysis of conceptual issues and draw meaningful conclusions.
  • Excellent oral and written communication skills, including the ability to concisely convey information for different audiences.
  • Strong capability in building internal and external relationships and identifying customer concerns.
  • Strong capability in prioritizing work to meet commitments aligned with organizational goals.

Responsibilities

  • Develop and implement systems that clearly connect forecasts to PG&E’s strategies and operating plans.
  • Collaborate with forecasting, planning, rate analytics, and finance teams to compile key forecasts and planning and operating metrics.
  • Create transparent documentation for use across PG&E and by senior leadership, covering electric sales and generation, natural gas throughput, investment plans, technology costs, and commodity prices.
  • Support the PG&E Sales Command Center by tracking changing trends affecting gas and electric sales, addressing gaps, and supporting timely strategic decisions such as investment planning, cash planning, and budgetary decisions.
  • Contribute to the System Planning department’s gas and electric sales forecasting activities.
  • Apply analytical insights to support the development of PG&E’s regulatory filings and participation in CPUC and CAISO planning proceedings.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service