Energy Analyst, Data Center Portfolio

Meta; Bellevue (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Meta is seeking an experienced Energy Analyst to support its IDC Energy team. You will analyze tariffs, forecast energy demand, and quantify market risk across Meta's data center portfolio.

You will build AI-native tools and dashboards, collaborating with Finance, Infrastructure, and Capacity Engineering to drive cost efficiency and strategic energy procurement. The role emphasizes scalable analytics, transparent reporting, and staying current with evolving AI technologies to optimize workflows

Qualifications

• 6+ years of experience in the energy industry with a focus on wholesale or retail rate analysis, load forecasting, or energy market analytics
• Experience analyzing electric utility tariffs, wholesale energy market data, and renewable energy structures
• Experience applying quantitative and financial modeling methodologies to evaluate energy market risks and opportunities
• Experience collaborating cross-functionally with Finance, Accounting, or Infrastructure teams to support data-driven business decisions
• Experience prioritizing and managing multiple concurrent analytical workstreams to meet project deadlines
• Experience working with large energy consumers, electric utilities, energy service providers, or energy consultancies in a data center or industrial context
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience coding in Python, SQL, or similar languages to automate data processing and build analytical pipelines
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Familiarity with renewable energy procurement structures, including power purchase agreements and renewable energy certificates
• Experience creating AI-native tooling and dashboards
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Responsibilities

• Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new and existing data center sites
• Develop and maintain financial models to forecast energy consumption, demand charges, and rate impacts across Meta's global data center portfolio
• Conduct comprehensive load and cost analytics to support regional expansion and inform energy procurement strategies
• Build scalable analytical tools and dashboards to streamline portfolio analysis and improve reporting efficiency
• Engage with Infrastructure and Capacity Engineering stakeholders to incorporate data center design trends into load forecasting methodologies
• Monitor wholesale energy market developments, regulatory changes, and utility rate proceedings that may affect Meta's data center operating costs
• Synthesize complex energy data and present findings clearly to technical and non-technical stakeholders across the organization
• Support the risk program to identify and quantify portfolio-wide wholesale market exposure
• Create scalable AI-native analytical tool to improve efficiency and accuracy

Skills

Quantitative modeling

Financial modeling

Python

SQL

AI tooling

Data visualization

Cross-functional collaboration

Load forecasting

Stakeholder communication

Tools

Python

SQL

Data pipelines

Job description

Meta designs, builds, and operates some of the most innovative and energy-efficient data centers in the world. As global demand for compute infrastructure grows, so does the complexity of securing reliable, cost-effective, and sustainable energy supplies. Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy team, which is responsible for energy strategy, commercial and clean energy procurement, and energy portfolio management across Meta's rapidly expanding global data center portfolio. In this role, you will provide analytical expertise that directly informs site selection, energy procurement decisions, long-term capacity planning, and financial governance.

Responsibilities

• Analyze electric tariffs and wholesale market prices to evaluate energy cost implications for new and existing data center sites
• Develop and maintain financial models to forecast energy consumption, demand charges, and rate impacts across Meta's global data center portfolio
• Conduct comprehensive load and cost analytics to support regional expansion and inform energy procurement strategies
• Build scalable analytical tools and dashboards to streamline portfolio analysis and improve reporting efficiency
• Engage with Infrastructure and Capacity Engineering stakeholders to incorporate data center design trends into load forecasting methodologies
• Monitor wholesale energy market developments, regulatory changes, and utility rate proceedings that may affect Meta's data center operating costs
• Synthesize complex energy data and present findings clearly to technical and non-technical stakeholders across the organization
• Support the risk program to identify and quantify portfolio-wide wholesale market exposure
• Create scalable AI-native analytical tool to improve efficiency and accuracy

Qualifications

• 6+ years of experience in the energy industry with a focus on wholesale or retail rate analysis, load forecasting, or energy market analytics
• Experience analyzing electric utility tariffs, wholesale energy market data, and renewable energy structures
• Experience applying quantitative and financial modeling methodologies to evaluate energy market risks and opportunities
• Experience collaborating cross-functionally with Finance, Accounting, or Infrastructure teams to support data-driven business decisions
• Experience prioritizing and managing multiple concurrent analytical workstreams to meet project deadlines Experience working with large energy consumers, electric utilities, energy service providers, or energy consultancies in a data center or industrial context
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience coding in Python, SQL, or similar languages to automate data processing and build analytical pipelines
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Familiarity with renewable energy procurement structures, including power purchase agreements and renewable energy certificates
• Experience creating AI-native tooling and dashboards
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)