Energy Analyst, Data Center Portfolio

Meta

$120K — $145K *
Energy & Utilities
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of experience in energy industry focusing on load forecasting and market analytics
  • Proven ability to analyze electric utility tariffs and wholesale market data
  • Strong quantitative and financial modeling skills for evaluating energy markets
  • Experience collaborating across Finance, Accounting, and Infrastructure teams
  • Ability to manage multiple analytical projects simultaneously under tight deadlines

Responsibilities

  • Analyze electric tariffs and market prices for data center site energy costs
  • Develop financial models to forecast energy consumption and demand charges
  • Conduct analytics for regional expansion and energy procurement strategy
  • Build scalable tools and dashboards for portfolio analysis efficiency
  • Engage with engineering stakeholders for load forecasting support
  • Monitor energy market developments and utility rate changes
  • Synthesize complex energy data for diverse organizational stakeholders
  • Create AI-native tools to enhance analytical efficiency

Benefits

  • Comprehensive healthcare plans including medical, dental, and vision
  • Retirement savings plan with company match
  • Generous paid time off policy
  • Employee wellness and mental health programs
  • Continuous learning and development opportunities
Full Job Description
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

Minimum 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

Preferred Qualifications
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• 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 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 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 ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience creating AI-native tooling and dashboards

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