🚀 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] (https://www.linkedin.com/posts/artemkazantsev8_hey-folks-were-looking-for-a-seasoned-analyst-activity-7470395133952360448-6lQs)
• Отклик напрямую через LinkedIn (https://www.linkedin.com/jobs/view/4425834456/?refId=lG%2BtVQxMTvqwKMNvwEgwPQ%3D%3D&trackingId=lG%2BtVQxMTvqwKMNvwEgwPQ%3D%3D)
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Языки
английский (B2 — Средне-продвинутый)
Навыки
Airflow
BigQuery
data visualisation software
dbt
PostgreSQL
Python (computer programming)
Snowflake
SQL
use spreadsheets software
Домены
AI
Business Intelligence
Cloud Computing
ИИ навыки
Apache Airflow
BigQuery
carry out sales analysis
database management systems
data visualisation software
deliver visual presentation of data
PostgreSQL
Python (computer programming)
Snowflake
SQL
Statistics
use spreadsheets software
* Навыки определены автоматически с помощью нейросети
ИИ домены
Artificial Intelligence
Business Intelligence
Cloud Computing
Data Analysis
* Домены определены автоматически с помощью нейросети