Analyst, Supply Chain

FluidstackAustin, TX
$109,000 - $128,000

About The Position

Fluidstack is building civilization-scale infrastructure for AI, focusing on delivering 10 to 100s of GWs of compute faster than anyone else. This involves acquiring power, designing and building data centers, and operating them. The company values extreme ownership, velocity, first principles thinking, and a passion for the AI frontier. The Supply Chain Team is critical to Fluidstack's mission, working on problems such as supplying tens of gigawatts of compute, qualifying and dual-sourcing critical equipment, and building accurate supply chain prediction models. The team aims to make supply chain a competitive advantage by keeping procurement off the critical path and leveraging AI for precise forecasting of lead times, demand, and disruptions.

Requirements

  • Experience building forecasting or planning models that have been used for decision-making.
  • Proven ability to work with messy operational data from multiple systems and produce trusted numerical insights.
  • Skill in identifying lead-time or capacity issues in data weeks before they impact the schedule.
  • Ability to write clear analyses that enable action by buyers or executives without extensive follow-up.
  • Experience partnering with procurement, operations, or finance to deliver analysis that influenced purchasing or timing decisions.
  • Strong attention to detail in checking numbers and understanding the reliability of forecasts.
  • SQL and Python for data work.
  • Statistical or machine-learning forecasting methods.

Nice To Haves

  • Supply chain, procurement, or logistics analytics experience.
  • Experience with data center or hardware equipment categories.
  • Experience scaling analysis within a high-growth operation.

Responsibilities

  • Build and maintain demand and lead-time forecasts to keep procurement ahead of the build pipeline for critical equipment categories (e.g., chillers, switchgear, transformers, generators).
  • Track supplier capacity, lead times, and delivery risk across dual-sourced categories, identifying thresholds for re-sourcing before schedule impacts.
  • Model cost and timing trade-offs for large equipment commitments to support data-driven buyer negotiations.
  • Transform raw supplier, shipment, and inventory data into actionable weekly signals for the supply chain team, reconciling discrepancies.
  • Develop forecasting tools and dashboards to enable proactive disruption management by a lean team.

Benefits

  • Commitment to pay equity and transparency.
  • Equal Employment Opportunity Employer status.
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