Senior Quantitative Analyst

Requisition ID # 169527

Job Category: Business Operations / Strategy

Job Level: Individual Contributor

Business Unit: Engineering, Planning & Strategy

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 Utility Partnerships & 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 Senior Quantitative Analyst will manage the evaluation of a range of customer 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 the Oakland General Office based on business need.

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 around the minimum and the midpoint or $102k - $132k 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 Min: $102,000

Bay Area Mid: $132,000

Bay Area Max: $162,000

Job Responsibilities

- Lead studies to evaluate performance of PG&E’s demand-side management programs and customer experience; manage external consultants to execute the studies

- Provide analytical support and recommendations for energy policy

- Perform statistical analyses of utility customer data to inform program design and/or operations, including supporting the development of PG&E’s energy program enrollment forecast

- Communicate measurement and evaluation findings to internal and external stakeholders to support regulatory proceedings

- Interface with internal and external stakeholders to understand business and regulatory needs, define the corresponding measurement and evaluation 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

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 related experience (i.e., data analysis and interpretation, research methods, applied statistics/econometrics, or energy program evaluation)

- OR Master’s Segree and 3 years job-related work experience

- OR Doctorate and 1 year of work experience

Desired:

- Knowledge of utility operations; California load management programs and policies

- Excellent communication skills. Ability to convey complex or technical information clearly, concisely, and accurately to a wide range of audience

- 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