Business Analyst - Data Analytics, AI & Predictive Modeling

We are seeking an experienced Senior Business Analyst with strong expertise in advanced data analytics, predictive modeling, artificial intelligence, and business intelligence development.

The ideal candidate will independently develop statistical and predictive models, manage complex datasets, build automated BI dashboards, and translate analytical findings into actionable business insights for executive leadership.

This role requires a highly analytical, technically skilled professional who can work independently, collaborate across multiple teams, manage external data vendors, and deliver accurate, executive-ready reporting., * Develop and execute predictive, statistical, and probability models to forecast KPIs, identify business trends, and evaluate potential risks and opportunities.

• Build forecasting models and business scenarios to assess the impact of emerging trends, performance drivers, and potential business challenges.
• Design, develop, and maintain interactive, executive-level dashboards using Power BI, Tableau, and other business intelligence tools.
• Integrate, manage, and analyze complex datasets from multiple internal and external sources for centralized reporting and monitoring.
• Develop automated data workflows and maintain data repositories to support continuous tracking and reporting.
• Create and maintain weekly, monthly, quarterly, and annual performance reports, dashboards, and analytical presentations.
• Leverage AI, machine learning, LLMs, and Microsoft Copilot to enhance reporting, data interpretation, and business intelligence capabilities.
• Work with external vendors to obtain, integrate, validate, and manage data through APIs, automated feeds, and other data sources.
• Perform regular quality checks and audits of data pipelines, analytical models, AI workflows, dashboards, and reporting outputs.
• Present analytical findings, forecasts, trends, and actionable recommendations directly to senior executives and leadership teams.
• Collaborate with IT, Cybersecurity, Customer Experience, and other cross-functional teams to support data-driven initiatives.
• Respond to real-time analytical requests and provide accurate insights to support strategic business decisions.

• Strong experience developing predictive, statistical, and forecasting models independently.
• Advanced hands-on programming experience with Python, SQL, and/or R.
• Strong expertise in Power BI and/or Tableau, including building dashboards and executive-level visualizations.
• Experience with AI, machine learning, Large Language Models (LLMs), and AI-powered analytics solutions.
• Experience managing complex datasets, data repositories, and automated data pipelines.
• Knowledge of Snowflake, Microsoft Azure, and other cloud-based data platforms.
• Experience integrating external data sources through APIs and automated data feeds.
• Strong understanding of data validation, quality assurance, and analytics governance.
• Excellent analytical, problem-solving, and critical-thinking abilities.
• Strong communication and presentation skills, including experience presenting insights to senior executives.
• Ability to independently manage multiple priorities and deliver accurate results within tight deadlines.

Preferred Qualifications

• Experience with Microsoft Copilot and LLM-powered reporting solutions.
• Experience working with structured and unstructured data, including text, audio, and video.
• Experience managing external data vendors and cross-functional data initiatives.
• Familiarity with utility industry frameworks, customer experience analytics, and California decarbonization goals.

Work Location Requirements

• Candidates must currently reside within approximately 25 miles of Oakland, CA.
• Hybrid work arrangement with an expectation to report to the Oakland office 1-2 days per week.
• Candidates must be comfortable working onsite as required.

Ideal Candidate Profile

The ideal candidate is a hands-on analytics professional who combines strong programming and statistical modeling expertise with business intelligence, AI-driven analytics, and executive communication skills.

This position requires someone who can independently build analytical solutions, manage complex data environments, develop executive-ready dashboards, and turn data into meaningful business recommendations without requiring constant direction.

Pay: $60.00 - $65.00 per hour

Expected hours: 40.0 per week

Application Question(s):

• Can you independently build predictive/statistical models using Python or R?

Experience:

• Predictive analytics: 4 years (Required)
• Snowflake: 2 years (Required)

Work Location: Hybrid remote in Oakland, CA 94612