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.
Nebius is looking for a Senior GTM Analyst to join our Sales Operations / GTM Analytics team. This role will support the teams responsible for understanding, measuring, and improving our go-to-market performance.
This is a hands-on analytics role for someone who is comfortable working with data, business stakeholders, and ambiguous commercial questions. You will help turn data from multiple systems and sources like Salesforce, Postgres/YTsaurus, Tableau, and Excel into clear insights that GTM teams can actually use.
You will work closely with GTM leadership and operators to answer questions like: Where is pipeline being created? Which segments are converting? Are territories balanced? Where are reps losing time? Is the dashboard showing the truth, or just reflecting bad data underneath?
You will leverage AI tools to improve process efficiency, create automations and deliver AI products.
Your responsibilities will include:
- Build, maintain, and improve Tableau / Salesforce dashboards for GTM teams.
- Write SQL queries to investigate pipeline, bookings, conversion, activity, territory, and productivity trends.
- Own GTM dashboards, metric definitions, and recurring performance reporting.
- Help improve data quality in Salesforce and downstream reporting tables.
- Investigate metric inconsistencies and explain root causes clearly.
- Partner with stakeholders to understand what business question they are really trying to answer.
- Document metric definitions, dashboard logic, and reporting assumptions.
- Support ad hoc analysis for GTM planning, territory reviews, forecasting, and performance deep dives.
- Turn messy requests into clean analysis and practical recommendations.
- Use Claude, Codex, and other AI tools to help you analyze and build products.
You are not just creating charts. You are helping the business understand what is happening and why. You do not wait for perfect requirements. You clarify the business question, check whether the data can support the answer, and push back when the metric or interpretation is flawed. You can explain what changed, why it changed, and what the business should do next.
We expect you to have:
- 5+ years of experience in analytics, RevOps, Sales Ops, BI, or a similar role.
- Strong SQL fundamentals.
- Experience with Tableau, Power BI, Looker, or a similar BI tool.
- Solid Excel or Google Sheets skills.
- Familiarity with AI Tools
- Strong understanding of GTM metrics such as pipeline, ARR, bookings, conversion rate, win rate, sales cycle, quota attainment, and funnel stages.
- Experience working with Salesforce data or another CRM.
- Ability to communicate findings clearly to non-technical stakeholders.
- Strong attention to detail, especially around metric definitions and data quality.
- Curiosity about how Sales, Marketing, and Customer Success teams operate.
It will be an added bonus if you have:
- Experience with dbt, Postgres, or YTsaurus.
- Experience supporting Sales Operations, Revenue Operations, or GTM strategy teams.
- Familiarity with territory planning, forecasting, lead routing, account segmentation, or quota setting.
- Experience working in a fast-moving SaaS or B2B technology company.
- Curiosity on exploring AI tools to improve your day to day
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.
Skills Required
- 5+ years of experience in analytics, RevOps, Sales Ops, BI, or a similar role.
- Strong SQL fundamentals.
- Experience with Tableau, Power BI, Looker, or a similar BI tool.
- Solid Excel or Google Sheets skills.
- Familiarity with AI tools.
- Strong understanding of GTM metrics (pipeline, ARR, bookings, conversion rate, win rate, sales cycle, quota attainment, funnel stages).
- Experience working with Salesforce data or another CRM.
- Ability to communicate findings clearly to non-technical stakeholders.
- Strong attention to detail, especially around metric definitions and data quality.
- Curiosity about how Sales, Marketing, and Customer Success teams operate.
- Experience with dbt, Postgres, or YTsaurus.
- Experience supporting Sales Operations, Revenue Operations, or GTM strategy teams.
- Familiarity with territory planning, forecasting, lead routing, account segmentation, or quota setting.
- Experience working in a fast-moving SaaS or B2B technology company.
- Curiosity on exploring AI tools to improve day-to-day work.
What We Do
Cloud platform specifically designed to train AI models
