AI Compute Capacity Analyst — Data Center Operations

Fluidstack; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Fluidstack is building civilization-scale infrastructure for AI and seeks a data-driven professional to model capacity across power, space, cooling, and compute. You will translate complex data into actionable guidance for deployment and scheduling decisions.

You will develop predictive models using SQL and Python, track capacity against plans, and produce reports for leadership. A strong data-quality approach and the ability to explain findings to executives are essential.

Qualifications

• Experience with capacity, utilization, or demand analysis for infrastructure, data centers, cloud, or heavy industry.
• Ability to build models in SQL or Python
• Able to translate analysis into actionable executive recommendations
• Strong data quality mindset and data sourcing skills

Responsibilities

• Model capacity across the fleet: power, space, cooling, and compute to guide allocation decisions.
• Track capacity consumption vs. plan and flag constraints early.
• Create reporting linking deployment schedules to available capacity for leadership.
• Run scenario analyses for deals and allocation decisions.

Skills

SQL

Python

Data modeling

Analytical thinking

Executive storytelling

Job description

Fluidstack is building civilization-scale infrastructure for AI and seeks a data-driven professional to model capacity across power, space, cooling, and compute. You will translate complex data into actionable guidance for deployment and scheduling decisions.

You will develop predictive models using SQL and Python, track capacity against plans, and produce reports for leadership. A strong data-quality approach and the ability to explain findings to executives are essential.