Sponsorship verdict
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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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
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