Model and reconcile IT/hardware capacity needs across data center sites, building automated views for planning and procurement while chasing discrepancies in orders, inventory, and lead times.
143k – 173k/yr
On-siteData Analytics
About the role
Responsibilities
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.
Requirements
Experience in capacity, demand, or supply planning for hardware-heavy operations.
Built models in SQL or spreadsheets that survived contact with messy source data.
Reconcile relentlessly: your numbers tie out or you know exactly why not.
Translate an analysis into an action: order now, shift that, escalate this.
Automate refreshes rather than rebuilding by hand.
Model and track greyspace capacity (electrical, mechanical, support space) across data center sites to ensure constraints are identified early. Build source-of-truth views, analyze trade-offs, and support design/delivery/operations teams with data center or industrial planning experience.
143k – 173k/yr
On-siteData Analytics
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