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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.
Job Responsibility
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 workstreams across projects, ensuring successful delivery from intake through analysis, validation, and presentation to stakeholders and leadership
Identify and resolve systemic data gaps and quality issues, driving improvements in data accessibility, governance, and usability across the organization
Partner with engineering, operations, IT, and strategy teams to define data requirements and ensure alignment with enterprise reliability objectives and regulatory expectations
Apply advanced statistical and analytical methods to produce insight-driven recommendations that influence operational and strategic decisions
Translate complex data into clear, concise, and executive-ready communications, supporting decision-making at multiple organizational levels
Establish and uphold data governance and quality standards, ensuring data integrity, traceability, and audit readiness
Drive continuous improvement initiatives across data processes, reporting frameworks, and analytical capabilities to enhance reliability and resilience outcomes
Provide guidance and mentorship to junior analysts, promoting best practices in data analysis, process design, and problem-solving
Requirements
BA/BS Degree in Marketing, Business, Computer Science, Engineering, or other related field, or equivalent work experience
4 years of related work experience
Nice to have
Familiarity with utility operations
Advanced skill in Microsoft Excel/Access (complex formulas, graphing, VBA)
Advanced skill in writing SQL queries using Oracle or Business Objects
Proficient in UNIX shell programming (csh, awk, sed, vi)
Solid knowledge of base-SAS and programming languages such as Visual Basic, Perl, and C
Strong organizational skills, ability to effectively prioritize work, meet deadlines, and work on multiple tasks independently
Good communication and presentation skills to deliver findings and make recommendations to stakeholders