Energy Analyst - Data Center & AI-Driven Procurement

Meta Careers; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy team. You will provide analytical expertise informing site selection, energy procurement decisions, long-term capacity planning, and financial governance.

The role requires 6+ years in energy, strong modeling skills, and experience with Python/SQL to automate data processing, plus familiarity with AI ethics and renewable energy structures.

Qualifications

• 6+ years in energy with focus on rate analysis, load forecasting, or market analytics.
• Experience analyzing tariffs, market data, and renewable energy structures.
• Quantitative/financial modeling to assess energy risks and opportunities.
• Collaboration with Finance, Accounting, or Infrastructure teams on data-driven decisions.
• Ability to manage multiple analytic workstreams to meet deadlines.
• Experience with large energy users or utilities in data center settings.
• Experience coding in Python/SQL to automate data processing.

Responsibilities

• Provide analytical expertise informing site selection and energy procurement decisions.
• Support long-term capacity planning and financial governance.
• Develop AI-native tooling and dashboards to drive insights.
• Collaborate cross-functionally to implement data-driven energy strategies.

Skills

Energy analytics

Quantitative modeling

Cross-functional collaboration

Project management

Python

SQL

AI ethics practices

AI tooling & workflows

Tools

Python

SQL

AI tooling

Job description

Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy team. You will provide analytical expertise informing site selection, energy procurement decisions, long-term capacity planning, and financial governance.

The role requires 6+ years in energy, strong modeling skills, and experience with Python/SQL to automate data processing, plus familiarity with AI ethics and renewable energy structures.