Quantitative Power System Analyst

Requisition ID # 173278 

Job Category: Business Operations / Strategy 

Job Level: Individual Contributor

Business Unit: Energy Delivery

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 tools and processes that proactively estimate and anticipate grid conditions at the circuit level to provide a more resilient electric grid.

Position Summary

This position serves as a senior technical leader responsible for advancing predictive grid intelligence, Distribution System State Estimation (DSSE), and reliability analytics to support a more resilient, data-driven electric system. The role leads the development and implementation of advanced analytical capabilities that provide real-time and forecasted visibility into system performance, asset health, and reliability risk. By applying machine learning, statistical methods, engineering analytics, and grid modeling techniques, the position enables more proactive planning, operations, and asset management decisions across the distribution network.

The position leads cross-functional efforts to develop predictive intelligence platforms that integrate SCADA, AMI, DER, outage, weather, and asset data to identify emerging risks and improve system reliability. Responsible for establishing technical frameworks, analytical methodologies, and best practices, the role supports reliability improvement initiatives, risk-informed investment planning, and grid modernization efforts. Through collaboration with engineering, operations, asset management, and technology teams, the position delivers actionable insights that improve reliability performance, reduce operational risk, and support achievement of key reliability objectives, including SAIDI, SAIFI, and resilience targets.

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, taking these factors into account. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

A reasonable salary range is:
Bay Area Minimum: $105,000
Bay Area Mid-Point: $137,000
Bay Area Maximum: $169,000

Job Responsibilities

•    Maintains and updates simple analytical models and assumptions for larger analytical projects.
•    Completes complex quantitative modeling and analysis with limited support.
•    Clearly articulates recommendations and findings in both written and oral communications both internally and externally.
•    Works with other utilities and industry groups in the development of new and innovative data and quantitative models, research, etc.
•    Lead the development and deployment of Distribution System State Estimation (DSSE) and predictive analytics capabilities to provide real-time and forecasted visibility of grid conditions and risks at the distribution circuit level. 
•    Design and operationalize state-aware grid intelligence platforms using SCADA, AMI, DER, outage, weather, and asset health data. 
•    Serve as an industry thought leader, driving innovation and advancing data-driven decision-making to improve reliability, reduce risk, and accelerate grid modernization.

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
• 4 years of job-related experience
  • OR Master’s Degree and 3 years’ job-related experience
  • OR Doctorate and 1 year of job-related experience

Desired:

•    Master’s degree or equivalent experience in Power System Engineering
•    Job-related experience, 6 years