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Remote Policy Analyst Jobs in Berkeley, CA (NOW HIRING)

These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth. Skills; Analytical and problem-solving ...

Compliance Analyst

Pleasanton, CA · Remote

$50 - $60/hr

Remote 100% Duration: 6+ Months of contract Summary: Ensures that the organization adheres to ... Monitor regulatory changes and assist in updating policies and procedures. Support investigations ...

Senior Data Analyst (Remote)

San Francisco, CA · On-site +1

$101K - $127K/yr

Accounts Receivable collections for policy remittance amounts and Search and production amounts ... Strong analytical and time management skills. * Strong interpersonal and communication skills to ...

This is a fully remote opportunity which can start immediately. Responsibilities: * Direct the ... policies. * Improve reporting and analysis workflows by introducing automation and scalable ...

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Remote Policy Analyst information

See Berkeley, CA salary details

$65.5K

$123.6K

$143.3K

How much do remote policy analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote policy analyst in Berkeley, CA is $123,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $142,600.00 per year, depending on experience, location, and employer.

What is a remote policy analyst?

Remote policy analysts are professionals who research, evaluate, and develop policies for organizations or government agencies while working from a remote location. They analyze data, monitor legislative changes, and prepare reports to help decision-makers understand the potential impact of proposed policies. Remote policy analysts often collaborate with colleagues and stakeholders through virtual meetings, emails, and digital platforms. This role requires strong analytical, communication, and research skills, as well as proficiency with digital tools for remote work.

What does a remote policy analyst do?

As a remote policy analyst, you examine existing policies and assist with the creation of new legislation and programs, all while working from home. You may be asked to monitor political events, collect data on policy decisions, review policy research, forecast political, social, and economic trends, analyze information, evaluate public policies, and provide insight on your findings. Your duties may require you to create databases to organize and assess the information accurately. A policy analyst may communicate with the media and political leaders to educate and provide guidance on current and future public policies.

What are the key skills and qualifications needed to thrive as a remote policy analyst, and why are they important?

To thrive as a Remote Policy Analyst, you need strong research, analytical, and writing skills, often supported by a degree in public policy, political science, or a related field. Familiarity with data analysis tools, policy tracking software, and platforms like Microsoft Office or Google Workspace is typically expected. Excellent communication, critical thinking, and self-motivation are valuable soft skills for collaborating virtually and managing independent work. These competencies are crucial for producing accurate policy recommendations, meeting deadlines, and effectively supporting decision-makers from a remote environment.

How do remote policy analysts typically collaborate with stakeholders and team members when working from different locations?

Remote Policy Analysts regularly use digital collaboration tools such as video conferencing, shared documents, and project management platforms to coordinate with colleagues, stakeholders, and clients. Clear communication and proactive scheduling of virtual meetings are essential to ensure everyone stays aligned and informed. Despite working remotely, analysts often participate in cross-functional teams, contribute to group research projects, and present findings to diverse audiences. Building strong digital relationships and being responsive to feedback are key to successful collaboration in this role.

What are the most commonly searched types of Policy Analyst jobs in Berkeley, CA?

The most popular types of Policy Analyst jobs in Berkeley, CA are:

What are popular job titles related to Remote Policy Analyst jobs in Berkeley, CA?

For Remote Policy Analyst jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Policy Analyst jobs in Berkeley, CA look for?

The top searched job categories for Remote Policy Analyst jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Policy Analyst jobs?

Cities near Berkeley, CA with the most Remote Policy Analyst job openings:

Infographic showing various Remote Policy Analyst job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $124,388 per year, or $59.8 per hour.

Quantitative Analyst - Energy Policy & Procurement

Pacific Gas and Electric Company

Oakland, CA • On-site, Remote

$113K/yr

Full-time

Posted 7 days ago


Pacific Gas and Electric Company rating

9.0

Company rating: 9.0 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

5th of 53 rated energy and utility


Job description

Requisition ID # 174187 

Job Category: Business Operations / Strategy 

Job Level: Individual Contributor

Business Unit: Strategy & Growth

Work Type:

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 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 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: $90,000.00

Bay Area Midpoint: $113,000.00

Bay Area Maximum: $136,000.00

Job Responsibilities

1. 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.

2. Market Intelligence and Assessment: Perform market assessment of supply-side and demand side energy resources for electricity.

3. 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.

4. 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.

5. 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


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