Quantitative Analyst - Energy Policy & Procurement

PG&E; Oakland (CA); Hybrid; USD 90,000 - 136,000; Full time

Job summary

PG&E in Oakland, CA is seeking a highly motivated Quantitative Analyst for the Portfolio Forecasting (PF) team within EPAD. The role focuses on electric portfolio forecasting analytics, generation portfolio simulation, scenario analysis, data visualization, data management, and business process improvement to support 100% GHG-free by 2045.

The analyst will collaborate with stakeholders across the organization to develop forecasts for generation and compliance positions, inform long-term

Qualifications

• Bachelor's degree required or equivalent field.
• 2 years of job related experience OR Master's Degree and 1 year of job related experience.
• Advanced degree in a relevant discipline is desirable.
• Experience with energy-related quantitative analysis, probabilistic dispatch modeling, production simulation modeling, or related functions.
• Strong communication and cross-functional collaboration skills.

Responsibilities

• Forecast generation and compliance forecasts for PG&E's energy positions.
• Develop and manage simulation models accounting for uncertainties.
• Produce analytics to guide resource planning and policy positions.
• Communicate results via data visualization and presentations.
• Drive continuous improvement of forecasting processes and tools.

Skills

Excellent communication

Forecasting analytics

Cross-functional collaboration

Project/process management

Energy-related quantitative analysis

Education

Bachelor's degree in Data Science/ML/CS/Physics/Econometrics/Economics/Engineering/Math/Statistics/Business

Master's degree in a relevant discipline

Tools

Excel

Power BI

Word

PowerPoint

SQL

SAS

Stata

MATLAB

Job description

Department Overview

Energy Policy & Procurement (EPP) secures electricity and natural gas from wholesale markets for PG&E customers to ensure system reliability. In addition, EPP is responsible for long-term planning, risk management, and compliance functions related to PG&E's energy portfolio. EPP also actively participates in regulatory and legislative proceedings that shape the design and implementation of state, regional, and federal energy regulation and policy.

The Quantitative Analyst position resides with the Portfolio Forecasting (PF) team within EPP's Energy Policy Analysis and Design (EPAD) department. EPAD is responsible for forecasting volumes, costs and impacts of demand- and supply-side energy resources, and portfolio positions for commodity market products and services as well as compliance instruments. The team is also responsible for market intelligence and assessment of supply-side and demand-side energy resources. EPAD supports long-term planning for supply-side and demand-side resources, electric transmission and distribution infrastructure, and business strategies to meet the future energy needs of PG&E's customers reliably, at a reasonable cost, and consistent with company and regulatory/legislative environmental policies.

Position Summary

PG&E is seeking a highly motivated Quantitative Analyst with experience in electric portfolio forecasting analytics, generation portfolio simulation modeling, scenario analysis, data visualization, data management, utility business model, and business process management.

The analyst will work closely with stakeholders to support development of forecasts of generation and compliance positions associated with PG&E's clean energy, emissions and reliability positions to ensure PG&E meets ambitious climate and energy reliability goals. The analyst will also support forecasts which inform PG&E's long-term generation rate forecast. The analyst will support generation of high-value business insights by identifying, framing, and executing analyses related to the business impacts of forecasts, including driving decisions on PG&E's long-term energy procurement to reach 100% greenhouse gas-free (GHG-Free) by 2045.

As part of this work the analyst will systematically evaluate and recommend improvements to the forecasting process, models, inputs, and platforms for production and delivery of forecasts, and will work closely with commercial and strategy teams across the organization.

The candidate will be capable of developing and managing cross-functional projects, products, or processes. The candidate will also have excellent written and verbal communication skills.

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 and the midpointof the range. Thefinal 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: $90,000.00

Bay Area Midpoint: $113,000.00

Bay Area Maximum: $136,000.00

Job Responsibilities

• Forecasting: Develop generation and compliance forecasts for PG&E's clean energy, emissions and reliability positions. This includes developing and managing simulation modeling to account for identified uncertainties that impact PG&E's electric generation portfolio. Ensure that the forecast is systematically and appropriately integrated into long-term planning strategy as well as policy and planning processes. Conduct research to inform/validate inputs, assumptions, and scenarios. Conduct market and policy research to identify critical uncertainties and inform the key inputs, assumptions, and the range of scenarios to be forecasted. Collaborate closely with commercial and strategy teams to drive informed commercial decision making.
• Market Intelligence and Assessment: Perform market assessment of supply-side and demand side energy resources for electricity.
• Analysis: Produce analytics that guide PG&E's resource, infrastructure, and strategic planning as well as public policy position development. The successful candidate will have a broad understanding of the California utility regulatory context and PG&E's business model to help contextualize the forecasts. Communicate results to client organizations through effective data visualization and presentation materials.
• Continuous Improvement: Drive continuous improvement to increase the efficiency, persuasiveness, and pervasiveness of electric portfolio forecasting. Provide support for the development and implementation of a roadmap to systematically identify improvements to the forecasting processes, analytics, inputs, and capabilities. Research and document forecasting best practices, client use‑cases, product specifications, analytical methods, processes, and platforms for production and delivery of forecasts.
• Policy Advocacy: Assist in developing analysis and testimony, including work papers and exhibits, to support policy position development with respect to forecasting. Review, analyze, and respond to interveners' testimony, comments, etc. to ensure the best possible outcome.

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.
• 2 years of job related experience OR Master's Degree and 1 year of job related experience

Desired:

• Advanced degree in a relevant discipline
• experience performing energy-related quantitative analysis, probabilistic dispatch modeling, production simulation modeling, technology market or program assessments or similar functions
• project, process or product management experience
• Experience working at electric or natural gas utilities, independent power producers, wholesale energy market participants, regulatory agencies, consulting firms, or similar organizations
• Knowledgeable about PG&E's business model, including interdependencies and interrelationships of the electric and natural gas industries and supply/demand-side businesses
• Familiarity with California regulatory context for investor-owned utilities
• Good oral and written communication skills, including communicating with technical and managerial audiences
• Demonstrated experience performing advanced Excel modeling. Working knowledge of Word, PowerPoint, and Power BI. Prior exposure to data-base management techniques.
• Working knowledge of advanced applications programming: R, SQL, SAS, Stata, Matlab or other data analysis/statistical software