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FluidstackFluidstack

Site Operations Capacity Analyst

Model and analyze capacity (power, space, cooling, compute) across AI data center fleet. Track consumption, build executive reporting, and run scenario analysis to inform allocation and deal decisions. Requires infrastructure capacity analysis experience and SQL/Python modeling skills.

About the job

Responsibilities

  • Model capacity across the fleet: power, space, cooling, and compute, so allocation decisions run on numbers, not recollection.
  • Track capacity consumption against plan and flag constraints quarters before they bind.
  • Build the reporting that connects deployment schedules to sellable capacity for commercial and leadership.
  • Run scenario analysis for deal and allocation decisions: what fits where, by when, at what displacement.

Requirements

  • Experience in capacity, utilization, or demand analysis for infrastructure, data centers, cloud, or heavy industry.
  • Build models in SQL or Python that others rely on, and version them like it matters.
  • Translate analysis into a one-page answer an executive can act on.
  • Chase down data quality problems to the source instead of footnoting them.

Nice-to-Haves

  • Data center capacity planning.
  • Power systems knowledge.
  • BI tooling (Tableau, Looker, Hex).
  • Cloud capacity or fleet economics.

Skills

SQL, Python, Tableau, Looker, Hex

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