Quantitative Energy Forecasting Analyst

PG&E; Oakland (CA); Hybrid; USD 73,000 - 109,000; Full time

Job summary

PG&E is seeking a quantitative analyst to develop, analyze, and improve forecasts of customer electric demand and emerging energy technologies. You will apply statistical and data-analytic methods to large datasets, evaluate market drivers, and build reproducible forecasting tools for stakeholders.

The role supports long-term planning and regulatory alignment as part of the System Planning team within the Energy Policy & Procurement organization.

Qualifications

• Bachelor's degree in Data Science or related field required.
• Experience with quantitative analysis in energy, climate, or public policy a plus.
• Strong data-management and visualization skills.
• Ability to communicate methods and findings to technical and nontechnical audiences.

Responsibilities

• Forecasting analysis: build and execute quantitative forecast workstreams for demand and technology adoption.
• Data management and visualization: handle large energy datasets; create reproducible workflows and visuals.
• Continuous improvement: document practices and improve forecast platforms and processes.
• Project delivery: manage multiple analytical workstreams with clear priorities and risk management.

Skills

Quantitative analysis

Forecasting

Data visualization

Communication

Team collaboration

Problem solving

Education

Bachelor's degree in Data Science or related field

Advanced degree preferred

Tools

Python

SQL

R

MATLAB

Excel

Job description

PG&E is seeking a quantitative analyst to develop, analyze, and improve forecasts of customer electric demand and emerging energy technologies. You will apply statistical and data-analytic methods to large datasets, evaluate market drivers, and build reproducible forecasting tools for stakeholders.

The role supports long-term planning and regulatory alignment as part of the System Planning team within the Energy Policy & Procurement organization.