Expert Quantitative Analyst

Requisition ID # 171461 

Job Category: Business Operations / Strategy 

Job Level: Individual Contributor

Business Unit: Strategy & Growth

Work Type: Hybrid

Job Location: Oakland

Department Overview

The Customer Programs Measurement and Evaluation (CP M&E) team sits within Clean Energy Programs, which is part of the Strategy & Innovation organization. As PG&E offers Load Management programs which aim at balancing load and energy supply, CP M&E conducts rigorous evaluations to estimate the impacts of the Load Management programs on the electric grid and customer experience. We analyze the programs’ operation efficiency and offer insights to improve program performance. Findings of our program evaluations also inform long-term resource planning, utility operations, and energy policies.

Position Summary

The Expert Quantitative Analyst will manage evaluations of a range of load management programs, including demand response, time-varying rates, and clean energy transportation, to improve program performance and help shape California energy policies.

This position is hybrid, working from your remote office and your assigned work location based on business need. The preferred work location is Oakland, CA.

PG&E is providing the full salary/pay range for this position.  The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location.  The range to reasonably expect will be between the minimum to the midpoint of the range.  The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

Bay Area Minimum: $129,000.00

Bay Area Midpoint: $168,000.00

Bay Area Maximum: $207,000.00

Job Responsibilities

• Lead studies to evaluate performance of PG&E’s load management programs and dynamic rates to optimize program delivery; manage external consultants to execute the studies
• Communicate evaluation findings to internal and external stakeholders provide recommendations to support energy policy
• Sponsor testimonies for regulatory proceedings
• Conduct statistical analyses of utility customer data to inform program design and/or operations, including supporting the development of PG&E energy programs’ enrollment forecast
• Interface with internal and external stakeholders to understand business needs, define evaluation objectives and deliverables to meet these needs, and support the integration of research findings into program design and operations
• Run cost effectiveness calculation for PG&E’s demand response programs

Minimum qualifications

• Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business or equivalent field.
• Job-related experience 6 years OR Master’s Degree and 5 years job-related (i.e., energy program evaluation, data analysis and interpretation, research methods, or applied statistics/econometrics)

Desired qualifications

• Knowledge of utility operations, California load management programs and policies
• Excellent communication skills: able to convey complex or technical information clearly and concisely to a wide range of audiences
• Advanced degree in Economics, Statistics, Mathematics, Public Policy, Social Sciences, or another relevant discipline
• Ability to influence leadership through data analysis, insights and recommendations
• Demonstrated ability to apply complex statistical methods, engineering or econometric modeling using large data sets
• Ability to lead and manage projects and project teams; ability to scope and manage third-party consultant contracts
• Familiarity with Demand Response Impact Evaluation Protocols
• Experience in running CPUC-approved Demand Response Avoided Cost Calculator
• Experience reviewing and commenting on technical reports and regulatory documents
• Excellent problem-solving skills