Clean Energy Quantitative Analyst

PG&E Corporation

Oakland, CA

Full Time

Mid Level

87k-131k

2 months ago

Job Description

About the Role

PG&E's Strategy team leads the development and facilitation of enterprise strategy, co-creates and supports planning and policy initiatives related to energy systems, and incubates emerging business opportunities. The team assesses industry trends, provides internal consulting, and leads high-profile utility initiatives. The System Planning team within PG&E is responsible for forecasting volumes, costs, and impacts of demand- and supply-side energy resources, supporting long-term planning for infrastructure and business strategies to meet future energy needs reliably and cost-effectively, while aligning with environmental policies. The Clean Energy Quantitative Analyst position resides within this team and focuses on analyzing and forecasting customer energy choices and emerging energy technologies.

Key Responsibilities

Forecasting Analysis: Generate high-value business insights by identifying, framing, and executing analyses related to the forecast inputs, assumptions and scenarios for various customer energy choices related to retail providers and behind-the-meter technologies. Create analytic tools in consultation with team members. Conduct systematic assessments of the energy technology landscape. Communicate results.
Data Management and Visualization: Access, extract, clean and explore large data sets related to energy technologies, customer demographics, customer decision making and customer energy use patterns. Communicate approaches and findings and provide guidance to the team of analysts. Build tools to visualize forecasts.
Continuous Improvement: Drive continuous improvement to forecasting to increase the efficiency, persuasiveness, and pervasiveness of energy resource forecasting. Research and document forecasting best practices, client use-cases, product specifications, analytical methods, processes, and platforms for production and delivery of forecasts.

Requirements

Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business or equivalent field.
2 years of relevant work experience OR 1 year of relevant work experience and a Master’s degree.
Experience performing energy-related quantitative analysis.
Working knowledge of data analysis/statistical software such as Python, R, SQL, SAS, Stata, MATLAB, or Microsoft Excel.

Nice to Have

Advanced degree in a relevant discipline.
Demonstrated project, process, or product management experience.
Work experience at electric or natural gas utilities, independent power producers, wholesale energy market participants, regulatory agencies, consulting firms, or similar organizations.
Advanced understanding of PG&E's business model and interdependencies of the electric and natural gas industries.
Familiarity with California regulatory context for investor-owned utilities.
Experience communicating complex information to officer-level stakeholders and external policymakers.

Qualifications

Bachelor's Degree in a relevant field.

Benefits & Perks

Participation in PG&E's discretionary incentive compensation programs.

Working at PG&E Corporation

PG&E values serving the planet and delivering for local communities, fostering a dynamic and innovative environment focused on energy transition, data-driven decision making, and continuous improvement.

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