Europe Arbeitnow ·
full-timeData Analyst (agentic Search)
Nebius · London
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. 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. In this role, you will define what quality means for a search system built for AI agents from day one. In this position, your responsibility will be to Own search-related quality metrics end-to-end: from definition and computation to evolution and transition to next-generation metrics. Design and reason about analytics architecture across the full stack: runtime behaviour → data pipelines → metrics → dashboards. Develop and maintain analytics pipelines and tooling using Python. Translate product, user, and technical requirements into meaningful, actionable metrics. Challenge existing assumptions about quality and push for better, more reliable measurement. Work closely with product managers, engineers, and stakeholders to align analytics with system behavior and business goals. Debug metric anomalies, investigate quality regressions, and propose data-driven improvements. <span data-ccp-props="
| Role | Data Analyst (agentic Search) |
|---|---|
| Company | Nebius |
| Location | London |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
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