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.
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.
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.
- Experience with Airflow or similar orchestration tools.
- MBA or MSc in a quantitative field.
Key employee benefits in the US:
- Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan: Up to 4% company match with immediate vesting.
- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote work reimbursement: Up to $85/month for mobile and internet.
- Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- 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:
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.
If you need accommodations during the application process, please let us know.
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
