Global Energy Analytics Leader - Data Center Forecasting

Meta

Madison (WI)

On-site

USD 197,000 - 271,000

Full time

3 days ago
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Job summary

Meta's Infrastructure organization seeks a Manager of Energy Analytics to lead forecasting and analytical strategy for our global data center portfolio. You will guide a geographically distributed team, set standards, and partner with Infrastructure and Finance leadership to drive capacity planning, budgeting, procurement, and rate design.

You will build models to forecast energy usage, costs, and rate impacts, and scale data products across utility and market data sources.

Qualifications

  • 8+ years in energy, utilities, or related field.
  • 4+ years people management experience.
  • Hands-on energy data analysis, tariffs, and market data.
  • Forecasting models used in budgeting or capacity decisions.
  • Experience scaling an analytical capability.
  • Advanced Excel with large datasets.
  • Strong communication and data visualization skills.
  • Experience mentoring analytics professionals.
  • Cross-functional relationship development.

Responsibilities

  • Lead and grow a distributed team of energy analysts across portfolio analytics and forecasting.
  • Develop ICs and emerging team leads; establish career pathways.
  • Set analytics standards, model documentation, version control, and QA.
  • Own energy rate analysis and forecasting for data center sites.
  • Improve uncertainty characterization with scenario analyses and ranges.
  • Build data pipelines and reporting to scale portfolio insights.

Skills

Team leadership
Forecasting
Data analysis
Stakeholder communication
People management
Excel

Tools

Tableau
SQL
Python
Data warehouses

Job description

Meta's Infrastructure organization seeks a Manager of Energy Analytics to lead forecasting and analytical strategy for our global data center portfolio. You will guide a geographically distributed team, set standards, and partner with Infrastructure and Finance leadership to drive capacity planning, budgeting, procurement, and rate design.

You will build models to forecast energy usage, costs, and rate impacts, and scale data products across utility and market data sources.

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