Senior Data Analyst

<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>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.</p> <p>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.</p> <p>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.</p></div><h2><strong>The role</strong></h2> <p>Nebius is looking for a Senior Data Analyst who will act as a trusted analytical partner to business and product stakeholders. You will work end-to-end: from shaping raw data into reliable datasets, to creating dashboards stakeholders trust, to running deeper analyses that clarify what’s happening, why it’s happening, and what to do next.<br>This role requires strong technical foundations, but also mature business judgment. You will be expected to understand business context, structure ambiguous problems, challenge assumptions constructively, and turn analysis into practical recommendations. You should be comfortable working with incomplete information, changing priorities, and complex stakeholder needs — bringing clarity where things are messy.<br>You will also contribute to developing AI-assisted analytics tools that reduce manual reporting, support better decision-making, and surface anomalies early.<br>You’re welcome to work in our office in Amsterdam.</p> <h2><strong>Your responsibilities will include:</strong></h2> <p><strong>Dashboard development.</strong> Design, implement, document, and maintain interactive dashboards used by business stakeholders. Improve existing dashboards by optimizing usability, performance, and metric definitions. Ensure dashboards are reliable, actionable, and aligned with business priorities.<br><strong>Data engineering support.</strong> Contribute to ETL/ELT processes and data modeling: validate sources, monitor data freshness, improve data quality checks, and troubleshoot pipeline issues with clear root-cause writeups.<br><strong>AI-driven analytics.</strong> Help design, test, and refine analytical AI agents that streamline reporting, standardize repetitive analysis, and proactively flag anomalies. Participate in evaluation, including quality checks and false positives/negatives, and iterate based on feedback.<br><strong>