Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
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.
What you will doBuild 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
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
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
What we offer:
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
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.
