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
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.
We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
About the Role
We're looking for a Data Analyst to partner closely with our Customer Success and GTM teams and turn data into decisions. You'll own the metrics that matter — acquisition, activation, retention, product usage, expansion, and revenue — and uncover the drivers behind them. You'll build the analyses that shape strategy, identify what influences customer success and growth, and help answer the critical questions: what's working, what isn't, and why.
This is a high-ownership, hands-on role for someone who loves digging into data, writes their own code, and ships analysis that changes what the business does next.
What You'll Do
- Own GTM analytics end-to-end: define, instrument, and report on the funnel — from signup and activation through conversion, expansion, and churn.
- Proactively monitor key business metrics, investigate trends and anomalies, and surface actionable insights to stakeholders.
- Partner with other teams like Sales, Marketing and Product to scope questions, run analyses, and translate findings into clear recommendations.
- Dig into product usage and revenue data to surface insights on user behavior, cohorts, and monetization.
- Write production-quality SQL and Python to model data, automate pipelines, and run analyses at scale.
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