Senior Data Analyst - Capacity Management Team

About the role

We are looking for a Senior Data Analyst to become the first analytics hire in Capacity Management and build a data-driven foundation for how we plan and operate infrastructure. Today, many critical decisions rely on expert judgment. Your mission is to change that - by introducing clear metrics, reliable observability, and forward-looking models that guide decisions across engineering, product, and business. You will work directly with the Head of Capacity Management and operate with high autonomy across the entire capacity domain.

Responsibilities

• Build observability into capacity
• Define and own key metrics for availability, utilization, and capacity health
• Build dashboards that reflect the real state of the system, not a simplified view
• Replace manual and fragmented reporting with reliable, scalable data products
• Own forecasting and demand modeling
• Develop rolling forecasts across regions, clusters, and products
• Identify early signals of shortages and imbalances
• Turn uncertainty into quantified scenarios
• Drive decision-making
• Support decisions on data center expansion, resource allocation, and product constraints
• Model trade-offs (e.g. resource ratios, allocation strategies, demand shifts)
• Bring clarity and structure to ambiguous, high-impact problems
• Scope & impact
• Operate across ~a dozen regions, multiple clusters, and tens of thousands of GPUs
• Influence decisions on infrastructure scaling, product allocation models, and business priorities
• Become a key partner to engineering, product, and business teams
• We expect you to have:
• Proven Experience: 5+ years of experience in data analytics, data science, or related fields, ideally in high-scale or infrastructure-driven environments
• Strong ownership: ability to independently drive problems from framing through analysis to actionable recommendations
• Technical proficiency: solid SQL and Python for data analysis, modeling, and working with large datasets
• Data product experience: hands-on experience building dashboards and data products (Grafana, DataLens, or similar BI tools)
• Operational mindset: ability to work effectively in evolving, imperfect data environments with incomplete information
• Decision-making under ambiguity: comfort operating in high-speed environments with shifting priorities and unclear inputs
• It will be an added bonus if you have:
• Experience in infrastructure, cloud, or capacity-related domains
• Background in forecasting, time series analysis, or demand planning
• Understanding of statistical methods and practical judgment on when to apply them
• Experience in high-growth or startup environments
• Proficiency in Russian is a plus
• Benefits & Perks:
• Competitive compensation
• Career growth and learning opportunities
• Flexibility and work-life balance
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams
• What's it like to work at Nebius:
• Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
• Equal Opportunity Statement:
• Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
• If you need accommodations during the application process, please let us know.

Benefits

Additional Information

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

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