Senior Business Analyst (Finance & Sales)

Posted 2 Days Ago
New York City, NY, USA
In-Office
179K-224K Annually
Senior level
Artificial Intelligence • Information Technology • Consulting
The Role
Own core SaaS business metrics across Finance and Sales, including revenue, bookings, pipeline, conversion, retention, and margins. Build reliable metric definitions, financial and pipeline models, recurring reports, and production-quality SQL and Python analyses. Partner with leadership on forecasting, budgeting, board reporting, sales performance, pricing, segmentation, capacity planning, and go-to-market experiments. Translate trends and anomalies into actionable recommendations.
Summary Generated by Built In

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.
  • 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.

Base Compensation Range
$179,000—$224,000 USD

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.

Skills Required

  • 5+ years of experience as an analyst, including 2+ years as a Business Analyst, FP&A Analyst, Revenue/Sales Operations Analyst, or equivalent
  • 2+ years of experience working in a SaaS company
  • Understanding of ARR, bookings, NRR, CAC, payback, pipeline coverage, and SaaS business metrics
  • Hands-on experience supporting Finance and/or Sales teams
  • Experience owning metric definitions relied upon by a company
  • Strong SQL skills and experience working with large, messy datasets across multiple 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 equivalent
  • Familiarity with modern data tooling, including Snowflake or BigQuery, dbt, and BI tools such as Omni, Looker, or Tableau
  • Experience at an API-first, developer-focused, usage-based, or product-led growth company
  • Experience with usage-based billing and revenue recognition, including Stripe, Metronome, or NetSuite
  • Experience with CRM analytics using HubSpot or Salesforce
  • Experience with sales compensation or quota design
  • Statistical foundation in experimentation and causal inference
  • Experience with Airflow or similar orchestration tools
  • MBA or MSc in a quantitative field

Nebius Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nebius and has not been reviewed or approved by Nebius.

  • Fair & Transparent Compensation — Pay is considered competitive or good across many roles, with overall sentiment leaning positive. While experiences vary by team and location, compensation frequently stands out as a strength.
  • Flexible Benefits — Work arrangements are described as remote-friendly with hybrid options and flexibility across time zones. Some roles reference home-office stipends that support distributed work.
  • Healthcare Strength — Company materials and job postings describe comprehensive employer-paid medical, dental, and vision coverage for employees and families. Details may vary by country and entity.

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The Company
HQ: Amsterdam
473 Employees

What We Do

Cloud platform specifically designed to train AI models

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