# Senior Business Analyst (Finance & Sales) at Nebius > United States · Senior · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Anebius%3A5001088101 (read 2026-11-14). ## Facts (observed) - Company: [Nebius](https://alderhq.app/companies/nebius) - Location text: New York City, New York, United States; New York City - Where it can be done from (inferred): United States (evidence: "Location: New York City, New York, United States; New York City") - Posted: 2026-10-14 (30 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-13 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://careers.nebius.com/?gh_jid=5001088101 - Skills listed (inferred): Python, Snowflake, dbt, SQL ## Pay and sponsorship - Posted pay: $179k–$224k per year (from the listing's pay field) - Market band for similar posted roles (New York, n 62): p25 $132k, median $172k, p75 $192k - Recognised sponsor (NL): registered as "Nebius B.V." (checked 2026-11-09, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants)) ## Description (the employer's text) ### 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Anebius%3A5001088101 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.