Meta
Network Strategy & Data Analytics Lead
$135K–$191K
New York, NY · Full-time · Posted Oct 27, 2026
- Experience
- 6+ years in a related field; 3 years in strategy consulting, investment banking/research, or telecommunications- or subsea-focused strategic planning.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
About the job
Develops terrestrial network strategies and investment recommendations by analyzing network, market, supplier, operational, and financial evidence.
What you'll do
- Develop long-term terrestrial network strategies and assess capacity gaps, investment timing, and opportunities.
- Build and test analytical models; compare investment alternatives and prepare business cases.
- Present decision-ready recommendations and align internal and external stakeholders.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 6+ years of experience in network strategy, network planning, infrastructure investment, quantitative consulting, data analytics, or a related field.
- 3 years of experience in strategy consulting, investment banking/research, or strategic planning with a telecommunications or subsea infrastructure focus.
- Experience with financial, economic, or network modeling, complex datasets, and analytical tools such as SQL, Python, spreadsheets, or equivalent methods.
Nice to have
- Knowledge of backbone and long-haul fiber networks, including route design, IRU and lease structures, and capacity delivery.
- Experience with network capacity planning, demand forecasting, traffic engineering, or at a hyperscale technology company, telecommunications carrier, or global network infrastructure provider.
Pay
$135,000/year to $191,000/year USD base salary; bonus and equity amounts not specified
Tools
SQL, Python, spreadsheets
AI focus
Uses AI-assisted tools for research, modeling, analysis, and synthesis; integrates AI or automation into investment analysis, portfolio tracking, or workflow optimization; applies responsible AI practices and validates outputs.
Model-written summary · the original posting is authoritative