Program Capacity Analyst

Posted 5 Days Ago
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New York, NY
In-Office
125K-145K Annually
Mid level
Artificial Intelligence • Software
The Role
As a Program Capacity Analyst, you will support capacity planning by analyzing data, building demand models, and developing dashboards for informed decision-making.
Summary Generated by Built In
About Fluidstack

At Fluidstack, we’re building the infrastructure for abundant intelligence. We partner with top AI labs, governments, and enterprises - including Mistral, Poolside, Black Forest Labs, Meta, and more - to unlock compute at the speed of light.

We’re working with urgency to make AGI a reality. As such, our team is highly motivated and committed to delivering world-class infrastructure. We treat our customers’ outcomes as our own, taking pride in the systems we build and the trust we earn. If you’re motivated by purpose, obsessed with excellence, and ready to work very hard to accelerate the future of intelligence, join us in building what's next.

About the Role

As a Program Capacity Analyst, you will support capacity planning and management programs that ensure Fluidstack’s datacenter infrastructure supply meets our customers’ demand for compute, storage, and high-performance networking.

You’ll focus heavily on data analysis, forecasting, and building tools that help the team and wider business make better decisions about capacity, cost, and risk. You’ll work closely with the Program Capacity Lead and cross-functional teams to turn data into clear insights and actionable plans helping to manage billions in annual infrastructure investments.

Key Responsibilities
  • Support end-to-end capacity planning for compute servers, networking equipment, and datacenter facilities (power, cooling, space).

  • Build, maintain, and improve demand models and short- and long-term forecasts using rigorous quantitative methods.

  • Analyze demand signals from engineering, product, and sales to refine forecasts and highlight trends, anomalies, and risks.

  • Translate capacity forecasts into clear analytical outputs that support supply plans for hardware procurement, manufacturing, logistics, and datacenter deployment.

  • Identify capacity risks (e.g. supply shortages, deployment delays, technology transitions) through data analysis and help develop mitigation and contingency scenarios.

  • Develop, maintain, and improve dashboards and reporting tools for internal teams and leadership, tracking KPIs such as forecast accuracy, delivery performance, and capacity utilization.

  • Prepare analysis, reports, and slide materials for internal reviews, stakeholder meetings, and executive updates led by the Program Capacity Lead.

  • Partner with Finance and other teams to provide data-driven inputs for budget planning, financial modeling, and cost optimization.

  • Clearly explain methodologies, assumptions, and findings to non-technical stakeholders across the business, ensuring decisions are grounded in data.

Basic Qualifications
  • Bachelor’s degree in a quantitative or technical field such as Computer Science, Engineering, Mathematics, Statistics, Data Science, Supply Chain, Operations Research, or related discipline (or equivalent practical experience).

  • Experience in an analytical role such as data analyst, business analyst, capacity planning analyst, supply chain analyst, or similar.

  • Strong analytical and quantitative skills with hands-on experience in forecasting, demand planning, statistical analysis, or similar data-driven work.

  • Proficiency in SQL and at least one programming language for data analysis (e.g. Python or R), including data cleaning, transformation, and exploratory analysis.

  • Experience building and maintaining dashboards or reports in tools such as Tableau, Power BI, Looker, or similar.

  • Ability to clearly communicate analytical approaches, assumptions, and insights to non-technical stakeholders (written and verbal), and to structure findings into clear recommendations.

  • Strong attention to detail and a fast learner, comfort working with large and complex datasets, and ability to manage multiple analyses in a fast-paced environment.

Preferred Qualifications
  • Experience working with capacity planning, supply chain, infrastructure planning, or operations in a technology, cloud, or datacenter environment or strong interest in learning quickly.

  • Familiarity with datacenter infrastructure concepts (servers, storage, networking, power, cooling) or a strong interest in learning them quickly.

  • Experience partnering with cross-functional teams (engineering, product, finance, supply chain, operations) to deliver analytical insights that drive decisions.

  • Experience interfacing directly with external customers or partners (e.g. participating in customer reviews, presenting analysis, answering technical questions).

  • Experience building more advanced models (e.g. time series forecasting, scenario modeling, optimization) to support planning decisions.

  • Comfort working in ambiguous, rapidly changing environments and iterating quickly based on feedback.

Salary & Benefits
  • Competitive total compensation package (salary + equity).

  • Retirement or pension plan, in line with local norms.

  • Health, dental, and vision insurance.

  • Generous PTO policy, in line with local norms.

The salary range for this position is $125,000 - $145,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Top Skills

Looker
Power BI
Python
R
SQL
Tableau
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The Company
HQ: London
30 Employees
Year Founded: 2017

What We Do

Instantly reserve dedicated clusters of NVIDIA H200s and GB200s for any scale to supercharge your training and inference workflows.

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