8 часов назад
Supply Chain Data Analyst
224 000 - 264 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Supply Chain Data Analyst (AI Compute Infrastructure): Building demand, lead-time, and supplier-capacity forecasting models for large-scale AI compute infrastructure with an accent on operational data quality, procurement analytics, and disruption prediction. Focus on reconciling supplier, shipment, and inventory data, modeling equipment commitment trade-offs, and developing dashboards that keep procurement ahead of schedule risks.
Location: On-site in Austin, TX; New York, NY; San Francisco, CA; or Seattle, WA
Salary: $224,000–$264,000 per year, plus equity
Company
builds and operates large-scale compute infrastructure for frontier AI, including power systems and data centers.
What you will do
- Build and maintain demand and lead-time forecasts across critical data center equipment categories.
- Track supplier capacity, lead times, delivery risk, and dual-sourcing thresholds.
- Model cost and timing trade-offs for multi-hundred-million-dollar equipment commitments.
- Reconcile supplier, shipment, and inventory data into reliable weekly supply chain signals.
- Develop forecasting tools and dashboards that identify disruptions before they affect schedules.
Requirements
- Experience building forecasting or planning models used for business decisions.
- Experience working with messy operational data from multiple systems and producing trusted analyses.
- Ability to identify lead-time or capacity risks before they become schedule problems.
- Ability to communicate analysis clearly to procurement stakeholders and executives.
- Experience partnering with procurement, operations, or finance to influence purchasing or timing decisions.
- Ability to validate analytical results and recognize uncertainty in forecasts.
Nice to have
- Supply chain, procurement, or logistics analytics experience.
- Experience with data center or hardware equipment categories.
- SQL and Python for data analysis.
- Statistical or machine-learning forecasting methods.
- Experience scaling analysis in a high-growth operation.
Culture & Benefits
- Full-time employment with base salary, equity, and benefits.
- Compensation discussions are welcomed, with potentially adjusted terms for exceptional candidates.
- Commitment to pay equity and compensation transparency.
- Equal employment opportunity for qualified applicants.
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