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 field4 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 experienceOR Doctorate and 1 year of work experienceDesired :
Knowledge of utility operations; California load management programs and policiesExcellent communication skills. Ability to convey complex or technical information clearly, concisely, and accurately to a wide range of audienceAbility to influence leadership through data analysis, insights, and recommendationsDemonstrated ability to apply complex statistical methods, engineering or econometric modeling using large data setsAbility to lead and manage projects and project teams; ability to scope and manage third-party consultant contractsFamiliarity with Demand Response Impact Evaluation ProtocolsExperience in running CPUC-approved Demand Response Avoided Cost CalculatorExperience reviewing and commenting on technical reports and regulatory documentsExcellent problem-solving skills