Data Analyst

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with RD hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI RD team. The role Nebius is looking for a Data Analyst who will build and maintain analytical assets that support day-to-day decision-making across the business. 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 and what to do next. You will also contribute to developing AI-assisted analytics tools that reduce manual reporting and surface anomalies early. You’re welcome to work in our office in Amsterdam. Your responsibilities will include: Dashboard development. Design, implement, document, and maintain interactive dashboards used by business stakeholders. Improve existing dashboards by optimizing usability, performance, and metric definitions. Data engineering support. 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. AI-driven analytics. Help design, test, and refine analytical AI agents that streamline reporting, standardize repetitive analysis, and proactively flag anomalies. Participate in evaluation (quality checks, false positives/negatives) and iterate based on feedback. Exploratory and ad-hoc analysis. Translate business questions into analysis plans, apply appropriate statistical methods, and communicate findings clearly (including assumptions, limitations, and recommended actions). Turn recurring ad-hoc requests into reusable assets where possible. Stakeholder collaboration. Clarify requirements, align on definitions (KPIs/metrics), and present results in a way that supports decisions — not just “interesting numbers”. We expect you to have: Experience as a Data Analyst or in a similar analytical role. Strong proficiency in Python and SQL, and confidence using Excel when it is the most efficient tool. Solid grounding in statistics and analytical thinking, including descriptive statistics, hypothesis testing, and regression fundamentals. Experience producing clear data visualizations and communicating analytical findings in plain language. Strong attention to data quality and detail, including validating definitions, identifying inconsistencies, and implementing data checks. Demonstrated ability to translate business questions into structured analysis and actionable insights. Strong written and verbal communication skills, including explaining technical concepts to non-technical audiences. Working knowledge of spoken and written English. It will be an added bonus if you have: Experience with BI tools such as Tableau, Power BI, Looker, or Superset. Familiarity with modern data stacks such as dbt, Airflow, BigQuery, Snowflake, or PostgreSQL. Experience with experiment analysis, cohort analysis, or funnel metrics. What we offer Competitive salary and comprehensive benefits package. Opportunities for professional growth within Nebius. Flexible working arrangements. A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML ... (truncated, view full listing at source)