The Business Intelligence Analyst 3 will work on three primary tasks: creating financial and operational dashboards and other data visualization and automation tools to support core Asset Optimization (AO) functions, work with interdepartmental teams to provide long-term financial forecasts for generating renewable energy projects, and create other ad-hoc analyses to support internal strategic initiatives and business decisions.  Responsibilities will include project managing tasks from intake to delivery including working with internal users on requirements, cleaning/processing data, tool development, and engaging in user feedback to identify future improvements. 

This position is Hybrid in San Diego, CA (Rancho Bernardo). Typically, three days per week in office, Tuesday-Thursday. Only candidates located within this regional area will be considered. 

• Independently build financial and business models and conduct in-depth analyses and presentation of findings to senior management.
• Maintain and develop new features for intercompany digital business intelligence solutions.
• Work with Development, Technical Services, and Asset Optimization business units to ensure that the financial and operational models incorporate the current and relevant information to provide OpEx pricing and allow for accurate and timely bidding on internal projects.
• Apply creative problem-solving skills to pricing and analytical initiatives and focus on continuously improving all models, analyses, and processes.
• Manage project intake and milestone reporting with internal customers/users.
• Report on project actuals to budget performance and interpret the data to identify areas of concerns and potential improvement in business practices.
• Maintain various pricing and analytic databases and monitor, track, and update KPIs for the department.
• Develop and improve databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Other duties as assigned.

• Education: Bachelor’s degree in Finance, Business, Economics, Science, Engineering, Accounting, or a related quantitative field required.

• An MBA or MS in Business Analytics (MSBA) is preferred.

• Data & Analytics: Minimum 3+ years of experience working with complex data structures, including hands-on experience with Python/SQL for ETL processes and creating data visualizations in Tableau or PowerBI.

• Financial Modeling: Minimum 3+ years of financial analysis experience, with a proven track record of developing, maintaining, and analyzing complex models.

• Project Management: Minimum 1+ years of experience managing cross-functional projects and delivering complex, multi-departmental deliverables.

• Advanced Analytics & Systems: High proficiency in Excel (advanced spreadsheet creation and financial modeling). Solid programming and data architecture skills using SQL, Python, VBA, and BI tools (PowerBI/Tableau).

• Emerging Tech: Basic AI fluency and prompting skills, with experience utilizing AI-assisted coding or building AI agents considered a strong plus.

• Financial Acumen: Strong business acumen with specific expertise in financial statement preparation, profitability reporting, and project performance modeling.

• Cross-Functional Leadership: Proven ability to collaborate with and influence cross-functional teams, lead projects independently, and make sound, data-driven decisions.

• Communication: Exceptional written and verbal communication skills, with the ability to synthesize complex data into clear, concise progress reports and presentations for senior management.

• Execution & Organization: A highly organized self-starter who excels at creating structure out of ambiguity, managing multiple competing priorities, and delivering under tight deadlines.

• Mission Alignment: A genuine passion for renewable energy, sustainability, and clean tech.

• Mobility: Ability to travel upon request.