Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
API @ 4
Airflow @ 4
BI @ 3
CRM @ 4
Data Analysis @ 4
Data Modeling @ 4
Experimentation @ 6
GPU
Looker @ 3
Mathematics @ 6
NetSuite @ 4
Networking
Python @ 4
SQL @ 7
Salesforce @ 4
Snowflake @ 3
Statistics @ 6
Stripe @ 4
Tableau @ 3
dbt @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Nebius is building a full-stack AI cloud platform for developers and enterprises, supporting data and model training through production deployment. The company works across compute, storage, networking, GPU orchestration, inference optimization, and applied AI. Nebius is headquartered in Amsterdam and has R&D hubs across Europe, the UK, North America, and Israel.
Tavily, acquired by Nebius, provides a search and intelligence layer for AI agents and retrieval systems, helping organizations use trustworthy, real-time information.
This is a high-ownership, hands-on role partnering with Finance and Sales teams to turn data into decisions. The Business Analyst will own key company metrics, including ARR/MRR, bookings, pipeline, conversion, net revenue retention, and gross margin. The role involves building analyses that inform planning and go-to-market strategy and communicating findings to leadership.
Responsibilities
- Own the company's core business metrics end-to-end, including metric definitions, a single source of truth, and alignment across Finance, Sales, and leadership.
- Partner with Finance on revenue recognition, forecasting, budgeting, and board and investor reporting.
- Turn usage and billing data into reliable financial views.
- Partner with Sales on pipeline health, funnel conversion, win/loss analysis, sales cycle, quota attainment, territory and segment performance, and compensation analytics.
- Monitor key business metrics, investigate trends and anomalies, and proactively surface actionable insights.
- Build and maintain revenue and pipeline models connecting 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 such as pricing and packaging changes, segment strategy, capacity planning, and go-to-market experiments, including before-and-after impact measurement.
Requirements
- 5+ years of experience as an Analyst, including 2+ years as a Business Analyst, FP&A Analyst, Revenue or Sales Operations Analyst, or equivalent.
- 2+ years of experience working in a SaaS company.
- Understanding of ARR, bookings, NRR, CAC, payback, pipeline coverage, and other SaaS business metrics.
- Hands-on experience supporting Finance and/or Sales teams, with a track record of owning company-relevant metric definitions.
- Strong SQL skills and experience working with large, messy datasets from different sources.
- Hands-on experience using Python for data analysis and data modeling in a production environment.
- BSc in Economics, Finance, Statistics, Mathematics, Industrial Engineering, or an equivalent qualification.
- Familiarity with modern data tooling, including Snowflake or BigQuery, dbt, and BI tools such as Omni, Looker, or Tableau.
Preferred Qualifications
- Experience at an API-first, developer-focused, usage-based, or product-led growth company.
- Experience with usage-based billing and revenue recognition tools such as Stripe, Metronome, or NetSuite.
- Experience with CRM analytics using HubSpot or Salesforce, as well as sales compensation or quota design.
- A statistical foundation in experimentation and causal inference.
- Experience with Airflow or similar orchestration tools.
- MBA or MSc in a quantitative field.
Benefits
- 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan with up to a 4% company match and immediate vesting.
- 20 weeks of paid parental leave for primary caregivers and 12 weeks for secondary caregivers.
- Remote work reimbursement of up to $85 per month for mobile and internet.
- Company-paid short-term disability, long-term disability, and life insurance coverage.
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative and innovative culture.
- Opportunity to work on impactful AI projects.
- International environment and talented teams.
Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire. Nebius is an equal opportunity employer.