Expert, Quantitative Analyst - Resiliency, Strategy, and Partnerships
 PG&E | |
Bay Area Minimum: $129,000-Bay Area Maximum: $207,000
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 United States, California, Oakland | |
 May 27, 2026 | |
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Requisition ID# 172355 Job Category: Business Operations / Strategy Job Level: Individual Contributor Business Unit: Strategy & Growth Work Type: Hybrid Job Location: Oakland Department Overview The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E's Electric Reliability Strategy and initiatives. Within this department the Resiliency Strategy and Partnerships team will lead the long-term reliability and resiliency strategy. This work will include driving the development of related IEEE/IEC, FERC/NERC, EEI/IUNG/AEIC standards. Position Summary Leads the application of advanced analytics, including data science, machine learning, operations research, engineering, and economic modeling, to analyze complex energy systems and inform high-impact business, regulatory, and investment decisions. Serves as a technical expert, shaping analytical approaches and driving the development of quantitative models that support enterprise strategy, policy, financial planning, and procurement. Designs, develops, and oversees the execution of sophisticated models, algorithms, and decision-support tools using large, diverse datasets. Provides leadership across the full analytics lifecycle, including data engineering, modeling, and visualization, while ensuring technical rigor, scalability, and continuous improvement. Partners with cross-functional teams, senior leadership, and external stakeholders to resolve complex analytical challenges and align solutions with business objectives. Translates complex technical analyses into clear, executive-level insights and recommendations that influence PG&E's strategic and regulatory positions. Builds and maintains strong internal and external relationships and represents the company in industry forums, contributing thought leadership in quantitative modeling and energy system analytics. This position follows a hybrid work model, requiring employees to report to their assigned office location at least two or three days per week. The remaining days may be worked remotely, depending on business needs. The headquarters is located in the Oakland General Office. PG&E is providing the salary range that the company, in good faith, believes it may pay for this position at the time of the job posting. This compensation range is specific to the job's locality. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. Although we estimate the successful candidate hired into this role will be placed toward the middle or entry point of the range, the decision will be made on a case-by-case basis based on these factors. This job is also eligible to participate in PG&E's discretionary incentive compensation programs. A reasonable salary range is: Job Responsibilities * Works independently with internal and external stakeholders with guidance on the most complex issues, development of new and innovative data and quantitative modeling, research, etc. Qualifications Minimum: * Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business, or equivalent field. Desired: * Advanced Degree Knowledge, Skills, Abilities, and Competencies: * Expertise in quantitative energy system modeling and analysis frameworks and techniques. | |