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8 часов назад

Supply Chain Data Analyst

224 000 - 264 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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