Data Center Location Strategy Analyst

Meta; Menlo Park (CA); Hybrid; USD 140,000 - 230,000; Full time

Job summary

Meta's Global Strategy & Development team seeks a Data Center Location Strategy Analyst to support long-term capacity planning and site selection for Meta's data center portfolio.

You will develop scenario analyses and models to evaluate optimal locations for new capacities, informing multi-billion dollar capital investments and collaborating with energy, finance, site development, network, and construction teams.

Qualifications

• Bachelor's degree or equivalent practical experience in a directly related field or equivalent.
• 6+ years of experience in data center site selection, infrastructure capacity planning, real estate strategy, energy market analysis, or a closely related field.
• Experience building quantitative models to evaluate and compare infrastructure investment alternatives, including scenario analysis and sensitivity modeling.
• Experience synthesizing complex, multi-variable datasets spanning geographic, energy, regulatory, and financial dimensions to produce actionable strategic recommendations.

Responsibilities

• Develop scenario analyses and models to evaluate optimal locations for new data center capacities.
• Collaborate with site development, energy, network, finance, and construction teams to create location frameworks.
• Synthesize data across geographic, energy, regulatory, and financial dimensions to inform multi-billion dollar capital investments.

Skills

Data center site selection

Quantitative modeling

Scenario analysis

Geospatial analysis / GIS

AI integration in planning

Cross-functional collaboration

Data visualization

Energy market analysis

Education

Bachelor's degree or equivalent practical experience

Tools

GIS platforms

Data visualization software

AI tooling / automation tools

Job description

Meta's Global Strategy & Development team is seeking a Data Center Location Strategy Analyst to support the long-term capacity planning and site selection strategy that underpins Meta's global data center portfolio. In this role, you will develop scenario analyses and optionality models to evaluate optimal locations for new data center capacities, directly informing multi-billion dollar capital investment decisions. You will partner with teams across site development, energy, network, finance, and construction to develop location frameworks that balance capacity demand forecasts with supply-side constraints, ensuring Meta's infrastructure footprint scales reliably to support capacity enablement for billions of users worldwide. Bachelor's degree in a directly related field, or equivalent practical experience Bachelor's degree or equivalent practical experience 6+ years of experience in data center site selection, infrastructure capacity planning, real estate strategy, energy market analysis, or a closely related field Experience building quantitative models to evaluate and compare infrastructure investment alternatives, including scenario analysis and sensitivity modeling Experience synthesizing complex, multi-variable datasets spanning geographic, energy, regulatory, and financial dimensions to produce actionable strategic recommendations Experience collaborating cross-functionally with real estate, energy, finance, or network teams to drive alignment on infrastructure planning decisions Ability to source and utilize data, including data visualization, to communicate analytical findings and strategic recommendations to technical and non-technical stakeholders Data center industry experience with a focus on capacity delivery and scaling Experience integrating AI or automation tools into planning or analytical workflows to improve modeling efficiency, scenario coverage, or reporting accuracy Experience applying geospatial analysis tools or GIS platforms to infrastructure siting and market assessment workflows Familiarity with hyperscale data center design typologies, construction timelines, and the key site characteristics that drive development feasibility and cost Experience with power systems, utility interconnection processes, or renewable energy procurement as applied to large-scale data center or industrial facility development Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Location strategy and modeling experience across multiple geographies Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)