Fluidstack is looking to solve the problem of ensuring its datacenter infrastructure supply meets customer demand for compute, storage, and high-performance networking, to unlock compute at the speed of light and accelerate the future of intelligence.
Requirements
- 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.
- Strong analytical and quantitative skills with hands-on experience in forecasting, demand planning, statistical analysis, or similar data-driven work.
- 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 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.
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.
Other
- 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).
- 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.
- 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).
