Senior Data Analyst

🚀 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]
• Отклик напрямую через LinkedIn

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