Expert Operations Data Analyst

Pacific Gas And Electric Company•Oakland, CA

1d•$126,000 - $200,000•Hybrid

About The Position

The Corporate Security Data Program is seeking an experienced data professional to connect data governance with analytics, automation, and practical business solutions. This Expert-level individual contributor role will help shape a centralized, trusted data environment for Corporate Security and deliver dashboards, analytical tools, predictive insights, and Power Platform solutions that improve departmental operations and decision-making. The role calls for an analytical, self-starting, detail-oriented problem solver and communicator who can move between strategy and execution, translate complex data into meaningful stories, influence stakeholders with varied technical and operational perspectives, and contribute to continuous process improvement. It is hybrid, working from a remote office and in person once a week at the Oakland General Office; in-person attendance may increase based on business needs.

Requirements

Bachelor’s degree in Business, Computer Science, Engineering, Analytics, Information Systems, Data Science, or a related field, or equivalent work experience.
At least 6 years of experience in data analytics, business intelligence, data management, data governance, or a related discipline.
Experience developing and maintaining data models, dashboards, reports, and analytical products, including solutions using Microsoft Power BI or comparable business intelligence tools.
Experience designing, implementing, or supporting data governance, data quality, metadata, data architecture, or enterprise data management practices.
Advanced analytical, visualization, problem-solving, and communication skills.
Ability to integrate data from multiple sources and translate complex findings into actionable insights for technical and non-technical audiences.

Nice To Haves

Experience developing Microsoft Power Platform solutions, including Power Apps and Power Automate, and identifying automation opportunities that reduce manual effort and improve operational efficiency.
Experience with predictive analytics, statistical modeling, forecasting, leading indicator development, SQL, data integration, or data warehousing concepts.
Experience leading complex, cross-functional data initiatives or supporting security, risk management, operations, critical infrastructure, public safety, or a related operating environment.

Responsibilities

Lead development, governance, and continuous improvement of the Corporate Security Data Program, aligning data capabilities with business and operational priorities.
Design and maintain data architecture, models, taxonomies, relationships, standards, and documentation across incident, site, critical infrastructure, personnel, and operational datasets.
Lead integration and consolidation of disparate data sources into centralized, trusted, and scalable data environments for reporting, analytics, and decision-making.
Develop and enhance dashboards, reports, scorecards, and analytical products that provide actionable insight into operational effectiveness, risk, resilience, and program performance.
Analyze complex data to identify trends, patterns, risks, opportunities, and leading indicators; develop predictive models and forecasts to support proactive decision-making.
Translate complex findings into clear visualizations, data narratives, and practical recommendations for leaders and stakeholder groups.
Design and deliver Microsoft Power Platform solutions, including Power Apps, Power Automate, and Power BI, to centralize information, streamline workflows, and reduce manual processes.
Partner with Corporate Security and supporting functions to gather requirements, define business problems, and translate operational needs into sustainable data and technology solutions.
Establish and promote data quality, metadata, stewardship, validation, and standardization practices that strengthen the integrity and long-term usability of Corporate Security data assets.
Serve as a senior technical advisor and mentor, sharing knowledge, promoting best practices, and fostering innovation, analytical rigor, automation, and data-driven decision-making.