About Nebius
Nebius is building a full-stack AI cloud platform for developers and enterprises, with R&D hubs across Europe, the UK, North America and Israel. Listed on Nasdaq (NBIS) and headquartered in Amsterdam.
The role
Senior Data Analyst acting as a trusted analytical partner to business and product stakeholders: shaping raw data into reliable datasets, creating trusted dashboards, and running deeper analyses to explain what’s happening, why, and what to do next. Contribute to AI-assisted analytics tools that reduce manual reporting and surface anomalies.
Your responsibilities will include:
- Dashboard development — design, implement, document, and maintain interactive dashboards; improve usability, performance, and metric definitions.
- Data engineering support — contribute to ETL/ELT processes and data modeling, validate sources, monitor freshness, improve data quality checks, troubleshoot pipelines.
- AI-driven analytics — help design, test, and refine analytical AI agents, participate in evaluation and iteration.
- Exploratory and ad-hoc analysis — translate business questions into structured analysis, apply statistical methods, communicate findings and recommendations.
- Stakeholder collaboration — clarify requirements, align on definitions and KPIs, present results to support decisions.
- Problem structuring and decision support — break down ambiguous problems into analytical questions and support decision-making.
- Analytical best practices — improve documentation, review metric definitions, share best practices, and support less experienced colleagues.
We expect you to have
- Significant experience as a Data Analyst / Senior Data Analyst / Product or Business Analyst.
- Strong proficiency in Python and SQL; confident using Excel when appropriate.
- Solid grounding in statistics (descriptive statistics, hypothesis testing, regression fundamentals).
- Experience producing clear data visualizations and communicating findings in plain language.
- Attention to data quality, validating definitions, identifying inconsistencies, and implementing checks.
- Ability to translate business questions into structured analysis and actionable insights; strong business acumen and stakeholder management.
- Comfort with uncertainty and ambiguity; strong written and verbal communication skills in English.
It will be an added bonus if you have
- Experience with BI tools: Tableau, Power BI, Looker, Superset.
- Familiarity with modern data stacks: dbt, Airflow, BigQuery, Snowflake, PostgreSQL.
- Experience with experiment analysis, cohort analysis, or funnel metrics.
- Experience in cloud infrastructure, AI/ML, SaaS, developer tools, or technical product environments.
- Experience mentoring other analysts or contributing to analytics standards and documentation.
Conditions & perks
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects in an international environment
You’re welcome to work in our office in Amsterdam.