Senior, Operations Data Analyst - Reliability Strategy

PG&E; Oakland (CA); Hybrid; USD 105,000 - 169,000; Full time

Job summary

PG&E in Oakland seeks a data analytics professional to support the enterprise reliability strategy within the System Performance, Reliability and Resiliency Strategy team. You will extract, manage, and analyze operational data to inform reliability performance, risk, and strategic decisions across Electric Transmission and Distribution Engineering.

You'll design and optimize scalable data pipelines, tools, and databases, and develop automated reporting to deliver timely, accurate insights.

Qualifications

• Experience extracting and analyzing operational data to inform reliability decisions.
• Ability to design and implement scalable data pipelines and reporting solutions.
• Experience delivering dashboards and analytics for cross-functional teams.

Responsibilities

• Lead the extraction, management, and analysis of operational data to support PG&E’s enterprise reliability strategy, enabling data-driven decisions across Electric Transmission and Distribution Engineering.
• Design, develop, and optimize scalable data pipelines, tools, and databases to ensure high-quality, timely, and reliable delivery of performance data and insights.
• Develop and implement automated data processes, including data validation, cleansing, and transformation, to improve accuracy, efficiency, and repeatability of reporting.
• Deliver complex analytical products, including dashboards, models, and ad hoc analyses, that provide actionable insights into reliability performance, risk, and trends.
• Integrate predictive analytics, forecasting, and performance metrics into reporting frameworks to support proactive strategy development and execution.
• Lead data and analytics workstream

Skills

Data analysis

Data pipelines

Dashboards

Predictive analytics

Job description

Requisition ID# 172359

Job Category: Business Operations / Strategy

Job Level: Individual Contributor

Business Unit: Strategy & Growth

Work Type: Hybrid

Job Location: Oakland

Department Overview

The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E’s Electric Reliability Strategy and initiatives. Within this department the Reliability Strategy team develops the overall reliability strategy to meet company targets. This strategy integrates current performance of reliability mitigations, predictive analytics, target forecasts and the project portfolio to identify needed work to deliver for PG&E’s customers.

Position Summary

Applies data analysis and operational analytics to support the development and execution of PG&E’s enterprise reliability strategy. Extracts, manages, and analyzes operational data to provide timely, accurate, and actionable insights that inform reliability performance, risk assessment, and strategic decision‑making across Electric Transmission and Distribution Engineering.

Maintains and enhances operational data tools, databases, and reporting processes, ensuring data is current, reliable, and accessible to stakeholders. Develops automated data pipelines and reporting solutions that support performance monitoring, predictive analysis, and ongoing strategy execution. Identifies gaps in data availability and usability, driving improvements to enable faster, more consistent insights for leadership and cross‑functional teams.

Partners with engineering, operations, and strategy teams to translate complex data into clear, actionable reports and recommendations. Supports project delivery by managing data and analytics efforts from intake through analysis and presentation, ensuring alignment with enterprise reliability objectives and timelines. Contributes to continuous improvement of data processes, analytics capabilities, and reporting frameworks to strengthen system reliability and resilience outcomes.

This position follows a hybrid work model, requiring employees to report to their assigned office location at least two or three days per week. The remaining days may be worked remotely, depending on business needs. The headquarters is located in the Oakland General Office.

PG&E is providing the salary range that the company, in good faith, believes it might pay for this position at the time of the job posting. This compensation range is specific to the job's locality. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. Although we estimate the successful candidate hired for this role will be placed toward the middle or entry point of the range, the decision will be made on a case‑by‑case basis based on these factors. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

A reasonable salary range is:

Bay Area Minimum: $105,000

Bay Area Mid-Point: $137,000

Bay Area Maximum: $169,000

Job Responsibilities

• Lead the extraction, management, and analysis of operational data to support PG&E’s enterprise reliability strategy, enabling data‑driven decisions across Electric Transmission and Distribution Engineering.
• Design, develop, and optimize scalable data pipelines, tools, and databases to ensure high‑quality, timely, and reliable delivery of performance data and insights.
• Develop and implement advanced automated data processes, including data validation, cleansing, and transformation, to improve accuracy, efficiency, and repeatability of reporting.
• Deliver complex analytical products, including dashboards, models, and ad hoc analyses, that provide actionable insights into reliability performance, risk, and trends.
• Integrate predictive analytics, forecasting, and performance metrics into reporting frameworks to support proactive strategy development and execution.
• Lead data and analytics workstream