Senior GTM Analyst
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 the Role
We are looking for a Senior GTM Analyst to join our Sales Operations / GTM Analytics team. This role will own core GTM reporting and analytics, lead high-impact analytical workstreams, and help leadership make better decisions on commercial performance, capacity, coverage, and GTM investment.
This is a hands-on analytics role for someone who can build useful reports, but also understands the data, systems, and business process behind them. You will work across Salesforce, Postgres/YTsaurus, Tableau, Excel, and other sources to turn messy commercial data into reliable reporting, analytical models, clear insights, and practical recommendations.
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? How should we allocate capacity and investment? Is the dashboard showing the truth, or is it reflecting bad data, weak definitions, or broken source logic underneath?
You will use AI tools to improve process efficiency, automate repeatable analysis, and prototype internal tools that help GTM teams move faster.
This role reports to the Senior Manager GTM Analytics and Insights.
What You Will Do
- Build, maintain, and improve Tableau / Salesforce dashboards and recurring reports for GTM teams, while ensuring the underlying data and definitions are fit for decision-making.
- Lead high-impact analytical workstreams across annual planning, territory and coverage design, pipeline generation, sales productivity, forecasting, capacity planning, and resource allocation.
- Write SQL queries to investigate pipeline, bookings, conversion, activity, territory, productivity, and funnel performance trends.
- Own GTM dashboards, metric definitions, reporting logic, and recurring performance reporting as scalable products, not just one-off outputs.
- Understand and influence the data model behind the reports, including source systems, joins, aggregation grain, refresh logic, ownership, and known data quality issues.
- Investigate metric inconsistencies, identify root causes, and explain whether the issue is business performance, data quality, systems design, logic, or interpretation.
- Influence upstream data and systems architecture by partnering with CRM, Data, and Systems teams to ensure Salesforce and warehouse design supports scalable reporting and analytics requirements.
- Partner with stakeholders to clarify the real business question, challenge weak assumptions, and translate ambiguous requests into clean analysis and repeatable reporting products.
- Develop analytical frameworks and models that support scenario planning, resource allocation, productivity measurement, and GTM investment decisions.
- Document metric definitions, dashboard logic, data lineage, and reporting assumptions so others can trust and reuse the work.
- Drive GTM planning, territory reviews, forecasting, and performance deep dives with analysis that can stand up to leadership scrutiny.
- Proactively identify opportunities for the business rather than relying only on stakeholder requests, using data to surface questions leadership should be a