IT / Hardware Capacity Analyst

Fluidstack

$90K — $120K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in capacity, demand, or supply planning.
  • Proficient in building models using SQL or advanced spreadsheet functions.
  • Strong reconciliation skills with a focus on data accuracy.
  • Ability to translate analytical findings into actionable directives.
  • Experience with automating data processes and refreshes.
  • Bonus: Familiarity with data center operations or hardware supply chains, ERP systems, Python, and forecasting techniques.

Responsibilities

  • Model IT and hardware capacity needs across operational sites.
  • Reconcile demand against existing orders, inventory, and lead times.
  • Build automated capacity views for planning and procurement processes.
  • Identify discrepancies in inventory counts to prevent future issues.
  • Maintain a proactive approach to manage and flag potential capacity gaps.

Benefits

  • Commitment to pay equity and transparency.
Full Job Description
Role Scope
  • Model IT and hardware capacity across the pipeline: what compute, network, and support gear each site needs and when.
  • Reconcile demand against orders, inventory, and lead times, and flag the gap before it hits a schedule.
  • Build the capacity views planning and procurement run on, refreshed automatically.
  • Chase discrepancies to ground: a miscounted rack now is a missed energization later.
What We're Looking For
  • The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
  • You've done capacity, demand, or supply planning for hardware-heavy operations.
  • You've built models in SQL or spreadsheets that survived contact with messy source data.
  • You reconcile relentlessly: your numbers tie out or you know exactly why not.
  • You translate an analysis into an action: order now, shift that, escalate this.
  • You automate refreshes rather than rebuilding by hand.
  • Bonus: Data center or hardware supply chains. ERP data. Python. Forecasting methods.


We are committed to pay equity and transparency.

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