Data Analyst (Customer Success)

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.

• 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.
• Design and evaluate experiments (A/B tests) and measure the impact of GTM initiatives.
• Define metrics and a shared source of truth; bring rigor and clarity to how we measure success.

• 5+ years of experience as a Data Analyst (or equivalent).
• 2+ years working in a SaaS company.
• Hands-on experience as a CS / Sales / Marketing / Business / Product analyst — you understand funnels, cohorts, conversion, retention, and the metrics that drive a SaaS business.
• Strong hands-on experience using Python for data analysis, experimentation, and data modeling in a production environment.
• Strong SQL and comfort working with large, messy datasets.
• Strong communication: you can turn analysis into a clear, compelling story for non-technical stakeholders.
• Statistical foundation for experimentation and causal inference.
• BSc in Statistics/Math/CS or equivalent
• Familiarity with modern data tooling (Snowflake/BigQuery, dbt, Airflow, BI tools like Omni/Looker/Tableau).
• Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders.

• A track record of building your own projects - a GitHub profile, portfolio, side projects, or other evidence that you build things independently.
• Experience at an API-first, developer-focused, or PLG (product-led growth) company.
• Experience with product analytics platforms (PostHog, Amplitude, Mixpanel).
• Exposure to ML or working alongside data science teams.
• MSc in Statistic/Math/CS or equivalent

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.

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI 

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.