Senior Data Analyst в Nebius (Амстердам)

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Описание

🚀 Senior Data Analyst в Nebius (Амстердам) Nebius — full-stack AI cloud-платформа для AI-экономики: поддерживает разработчиков и enterprise от обучения моделей до прод-деплоя. Торгуется на Nasdaq (NBIS), штаб-квартира в Амстердаме, R&D-хабы в Европе, UK, Северной Америке и Израиле, команда 1500+ человек с глубокой экспертизой в hardware, software и AI R&D. Задачи: - 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; - AI-driven analytics: help design, test, and refine analytical AI agents that streamline reporting, standardize repetitive analysis, and proactively flag anomalies; - Exploratory and ad-hoc analysis: translate business questions into structured analysis plans, apply appropriate statistical methods, and communicate findings clearly; - Stakeholder collaboration: clarify requirements, align on definitions, KPIs and metrics, and present results in a way that supports decisions; Требования: - Significant experience as a Data Analyst, Senior Data Analyst, Business Analyst, Product 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: descriptive statistics, hypothesis testing, and regression fundamentals; - Experience producing clear data visualizations and communicating findings in plain language; - Strong attention to data quality and detail; - Ability to translate business questions into structured analysis and actionable insights; - Solid business acumen — connecting analysis to commercial or operational impact; - Strong problem-solving skills, comfort with uncertainty and ambiguity; - Strong written and verbal communication, stakeholder management; - Working knowledge of spoken and written English. Будет плюсом: - Experience with BI tools: Tableau, Power BI, Looker, or Superset; - Familiarity with modern data stacks: dbt, Airflow, BigQuery, Snowflake, or PostgreSQL; - Experience with experiment analysis, cohort analysis, or funnel metrics; Условия: - Гибридный формат работы в офисе в Амстердаме; - Возможность работать над impactful AI-проектами; 📎 Как откликнуться? • Вакансия: [Ссылка] ([linkedin]) • Отклик напрямую через LinkedIn ([linkedin]) #data_analyst #senior #международка #AI [handle]

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