Energy Analyst (Clean Energy Origination)
Meta

Energy is critical to enabling Meta's infrastructure, impacting every part of the company. This is especially true for our data centers, which comprise the bulk of our energy requirements, but it reaches every part of the Meta organization. We also have a strong commitment to supporting Meta's operations with 100% renewable energy and achieving net zero emissions for our value chain. Meta is seeking an experienced and self-motivated individual to help grow our portfolio of clean energy power plants that support our growing fleet of data centers.In this role, you will be a member of Meta's Energy Team. Your responsibilities will include: launching and processing requests for proposals to identify potential clean and renewable energy and other strategic projects for Meta's portfolio; ensuring accurate analysis regarding cost of different projects and contract options; analyzing market prices for clean energy to support modeling of future costs for the portfolio; tracking trends in clean energy markets; modeling multi-year projections for data centers in the portfolio to assess needs for future clean energy procurement; and supporting evaluation of emerging clean energy technologies. You will contribute to the deployment of Meta's global energy strategy by actively participating in the effort to procure a cost-competitive, clean and renewable energy-based supply portfolio that meets the company's overall strategic objectives.

Energy Analyst (Clean Energy Origination) Responsibilities:

• Develop calculators and tools that assess the volume of renewable energy projects that will be needed to maintain 100% renewable energy across Meta's operations.
• Develop and manage tools to assess viability, financial performance and carbon mitigation potential of clean energy projects and technologies.
• Work with external partners to integrate third-party data to enable Meta's tools to pull in multiple data sources to support decision making.
• Support creation and launch of requests for proposals and analysis of submissions to enable clean energy project selection.
• Support development of approval materials and analysis needed to move transactions forward through internal approval processes.
• Partner across the Energy Team to create and maintain forecasts of energy cost and generation from clean energy projects to support budget and planning efforts.
• Track, analyze and report on market data about availability of clean energy projects globally, as well as across local and regional constraints.
• Coordinate with cross-functional teams to support reporting on Meta's clean and renewable energy purchases, energy consumption, and emissions reduction, as well as progress toward renewable energy and net zero targets.

Minimum Qualifications:

• Bachelor's degree in business, finance, energy or technical discipline.
• 3+ years of work experience with an electric utility, financial institution, energy supplier, energy consultant, renewable energy project developer, or energy intensive consumer.
• Experience with energy settlements, wholesale energy markets, and modeling projected costs of clean and renewable energy contracts.
• Experience analyzing and interpreting energy cost and generation data, virtual PPAs, green tariffs, carbon emissions, and/or wholesale energy market data.
• Experience in building cross-functional relationships.
• Experience in Excel and working with large data sets and pulling in third-party data via APIs.
• Experience with PowerPoint and showing quantitative data visually.

Preferred Qualifications:

• Master's degree in business, finance, energy or technical discipline.
• Experience with Tableau or other data visualization software.
• Experience creating and working with SQL and VBA.
• Experience working with electric utilities and renewable energy suppliers.
• Experience building and managing models forecasting and analyzing clean energy cost and generation.
• Experience researching trends in energy market prices and drivers of energy market prices, including gathering and analyzing energy market data, such as PJM, MISO, SPP, ERCOT, and/or WECC/EIM.

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