Senior Business Analyst (Finance & Sales)
About the Role
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.
About Tavily (Acquired by Nebius)
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent, but informed.
The role
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.
Your responsibilities will include:
- 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.
We expect you to have:
- 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).
It will be an added bonus if you have:
- 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. <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Sym