Energy Analyst, Data Center Portfolio

Meta•Washington, DC

4d•$132,000 - $188,000

About The Position

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.

Requirements

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

Nice To Haves

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 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

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