Senior Data Analytics & Business Intelligence Specialist W2 Locals ONLY

• Develop predictive, statistical, and probability models to identify key drivers, trends, risks, and business opportunities.
• Build and maintain executive-ready dashboards and reports using Power BI, Tableau, and related analytics tools.
• Create forecasting models and actionable insights for weekly, monthly, quarterly, and annual business reviews.
• Develop automated data pipelines and integrate internal and external data sources using APIs.
• Manage and analyze structured and unstructured data from multiple sources.
• Leverage AI, Microsoft Copilot, LLMs, and Retrieval-Augmented Generation (RAG) to enhance reporting and natural-language data exploration.
• Implement data quality checks, validation processes, and automated reporting workflows.
• Present findings and recommendations clearly to executives and cross-functional stakeholders.
• Collaborate with IT, Cybersecurity, Customer Experience, vendors, and business teams.

We are seeking a Senior Data Analytics & Business Intelligence Specialist to support PG&E by developing predictive analytics, executive dashboards, automated data pipelines, and AI-powered reporting solutions. The ideal candidate combines strong technical expertise with business acumen, executive communication skills, and the ability to work independently in a cross-functional environment., * Strong experience in data analytics, business intelligence, predictive analytics, or data science.

• Proficiency in SQL and Python; experience with R is a plus.
• Hands-on experience with Power BI, Tableau, or similar visualization platforms.
• Experience with Snowflake, Azure, data warehouses, APIs, and automated data pipelines.
• Knowledge of statistical modeling, forecasting, and data-driven decision-making.
• Ability to translate complex analytical findings into clear executive-level insights.
• Strong communication, problem-solving, and independent working skills., * Previous experience with PG&E or another utility, energy, or power-sector organization.
• Experience with Microsoft Copilot, generative AI, LLMs, RAG, or MCP-based integrations.
• Familiarity with utility operations, California energy initiatives, decarbonization, or net-zero goals.
• Experience supporting senior leadership and executive business reviews.

Work Location Requirement: Candidates must be able to work onsite in Oakland, California, 1-2 days per week.

Interested candidates are encouraged to apply with an updated resume highlighting relevant analytics, BI, predictive modeling, and utility-sector experience.