Remote Quantitative Analyst Internship Jobs in California

Requisition ID # 174369 

Job Category: Business Operations / Strategy 

Job Level: Individual Contributor

Business Unit: Strategy & Growth

Work Type: Hybrid

Job Location: Oakland

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 Associate Quantitative Analyst position resides within the System Planning team. System Planning is responsible for forecasting volumes, costs, and impacts of demand- and supply-side energy resources. The team is also responsible for market assessment of supply-side and demand-side energy resources. System Planning supports long-term planning for supply-side and demand-side resources, electric transmission and distribution infrastructure, financial planning, 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, and environmental policies.

Position Summary

PG&E is seeking a quantitative analyst to develop, analyze, and improve forecasts of customer electric demand and emerging energy technologies. The analyst will apply statistical, economic, and data-analytics methods to large and complex datasets; evaluate market, policy, and technology drivers; build reproducible forecasting tools; and communicate findings to stakeholders. This role requires strong quantitative and data-management capabilities, along with demonstrated knowledge of or interest in distributed energy resources, retail choice, and the regulated utility environment.

The California energy landscape is rapidly evolving due to converging policy, technology, and customer trends that are driving a cleaner and more decentralized energy future. The analyst will be part of a dynamic and innovative team responsible for forecasting electric demand and the impacts of emerging customer energy choices, including load-serving entity choice, building electrification, electric vehicles, energy efficiency, rooftop solar, energy storage, and data centers. The team's forecasts are critical inputs to PG&E's business strategy, energy supply portfolios, and infrastructure plans.

The analyst will support senior team members and stakeholders in developing data-driven forecasts of customer energy demand and technology adoption. Working with internal subject-matter experts, the analyst will evaluate market, policy, technology, and customer-usage data to develop forecast assumptions and identify emerging trends. The analyst will also create analytical and visualization tools that improve forecast production, delivery, transparency, and usability.

The successful candidate will demonstrate analytical capability, initiative, intellectual curiosity, structured thinking, strong written and verbal communication skills, and team-orientated approach.

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

PG&E is providing the 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: $73,000.00

Bay Area Midpoint: $91,000.00

Bay Area Maximum: $109,000.00

Job Responsibilities

1. Forecasting Analysis: Frame and execute quantitative analyses supporting forecast inputs, assumptions, scenarios, and uncertainties for customer demand, retail choice, and behind-the-meter technologies. Develop analytical tools in collaboration with team members. Assess relevant market, policy, economic, and technology trends. Deliver forecast results and summarize methods, findings, limitations, and implications for technical and nontechnical stakeholders.
2. Data Management and Visualization: Acquire, extract, clean, integrate, validate, document, and analyze large datasets related to energy technologies, customer demographics, customer decisions, and energy-use patterns. Develop reproducible workflows and share approaches and findings with team members. Build visualizations and reporting tools that support forecast review, production, and delivery.
3. Continuous Improvement: Contribute to improvements that increase the efficiency, quality, transparency, reproducibility, and usefulness of energy-resource forecasting. Research and document forecasting practices, stakeholder use cases, product requirements, analytical methods, processes, and forecast-production platforms.
4. Project Delivery: Manage multiple assigned analytical workstreams involving partners within and outside System Planning. Establish and communicate priorities, identify risks or dependencies, and reliably deliver results consistent with agreed scope, schedule, and quality expectations.

Qualifications

Minimum:

• Bachelor's degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business Analytics or equivalent field.

Desired:

• Demonstrated experience performing quantitative analysis relevant to energy, climate, infrastructure, technology, customer behavior, or public policy
• Proficiency with Microsoft Excel and experience developing clear data visualizations or analytical reporting products.
• Experience acquiring, cleaning, analyzing, and interpreting complex datasets
• Ability to communicate analytical methods, assumptions, and findings clearly to technical and nontechnical audiences

• Proficiency with one or more analytical programming or query languages, such as Python, R, SQL, SAS, Stata, or MATLAB
• Advanced degree in a quantitative discipline
• Experience with energy demand, technology-adoption, or customer-choice forecasting
• Experience with statistical, econometric, time-series, techno-economic, or scenario-analysis methods
• Experience working with customer energy-use, economic, or technology datasets
• Experience at a utility, regulatory agency, energy market participant, research organization, consulting firm, technology company, or similar organization
• Familiarity with California energy policy and the regulated utility environment
• Experience building reproducible analytical workflows, visualization tools, or forecast-production processes