Senior Business Analyst (Finance & Sales)

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.

We're looking for a Business Analyst to partner closely with our Finance and Sales teams and turn data into decisions. You'll be the owner of the company's most important metrics: revenue (ARR/MRR), bookings, pipeline, conversion, net revenue retention, gross margin and more. Beyond reporting the numbers, you'll uncover the drivers behind them, build the analyses that shape planning and go-to-market strategy, and help leadership answer the critical questions:
This is a high-ownership, hands-on role for someone who is as comfortable in a board-deck conversation as in a SQL editor, and who ships analysis that changes what the business does next.
Own the company's core business metrics end-to-end: define them, build the single source of truth, and make sure Finance, Sales, and leadership are all looking at the same numbers.
Partner with Finance on revenue recognition, forecasting, budgeting, and board/investor reporting; turn usage and billing data into reliable financial views.
Partner with Sales on pipeline health, funnel conversion, win/loss, sales cycle, quota attainment, territory and segment performance, and compensation analytics.
Proactively monitor key business metrics, investigate trends and anomalies, and surface actionable insights to stakeholders before they ask.
Build and maintain revenue and pipeline models that connect product usage and billing data.
Write production-quality SQL and Python to model data, automate recurring reporting, and run analyses at scale.
Translate findings into clear recommendations and drive alignment across Finance, Sales, and leadership.
Support strategic initiatives: pricing and packaging changes, segment strategy, capacity planning, and go-to-market experiments, with before/after impact measurement.  
5+ years of experience as an Analyst, of which 2+ years of experience as a Business Analyst, FP&A analyst, Revenue/Sales Operations analyst, or equivalent.
2+ years working in a SaaS company; you understand ARR, bookings, NRR, CAC, payback, pipeline coverage, and the metrics that drive a SaaS business.
Hands-on experience supporting Finance and/or Sales teams, with a track record of owning metric definitions that the company relies on.
Strong SQL and comfort working with large, messy datasets across different sources.
Hands-on experience using Python for data analysis and data modeling in a production environment.
BSc in Economics / Finance / Statistics / Math / Industrial Engineering or equivalent.
Familiarity with modern data tooling (Snowflake/BigQuery, dbt, BI tools like Omni/Looker/Tableau).

Experience at an API-first, developer-focused, usage-based, or PLG (product-led growth) company.
Experience with usage-based billing and revenue recognition (Stripe, Metronome, NetSuite).
Experience with CRM analytics (HubSpot, Salesforce) and sales compensation / quota design.
Statistical foundation for experimentation and causal inference.
Experience with Airflow or similar orchestration tools.
MBA or MSc in a quantitative field.