Product Data Analyst (opens in a new tab) Operations Amsterdam

Nebius Group; Amsterdam; Remote; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Opportunity to work on impactful AI

International environment and talented

Other

Job summary

Nebius, Amsterdam-based, is hiring a Product Data Analyst to build and maintain analytical assets that support day-to-day decision-making across product and business domains. You’ll shape raw data into reliable datasets, create dashboards trusted by stakeholders, and help develop AI-assisted analytics tools to reduce manual reporting.

You’ll work end-to-end from data shaping to actionable insights, with opportunities to collaborate across teams and contribute to AI-driven analytics initiatives

Qualifications

• +4 years of experience as a product / business / data analyst.
• Strong proficiency in Python and SQL; comfortable with Excel for quick tasks.
• Solid grounding in statistics and analytical thinking.
• Experience producing clear, accurate visualizations and explanations in plain language.
• High attention to detail and data quality mindset.
• Structured problem solving with ownership and accountability.
• Clear stakeholder communication in English.
• Experience with BI tools (Tableau, Power BI, Looker, Superset).
• Familiarity with modern data stacks (DBT, Airflow, BigQuery/Snowflake/Postgres).

Responsibilities

• Master Product Analytics data and metrics & provide insights and consultancy to stakeholders and senior Management.
• Dashboard development: design, implement, document, and maintain interactive dashboards.
• Data engineering support: contribute to ETL/ELT, validate sources, monitor data freshness, troubleshoot pipelines.
• AI-driven analytics: design and refine analytical AI agents to streamline reporting and flag anomalies.
• Exploratory and ad-hoc analysis: translate business questions into analysis plans and communicate findings clearly.
• Stakeholder collaboration: clarify requirements, align on definitions, and present results to support decisions.

Skills

Python

SQL

Data visualization

Statistics

Stakeholder communication

Problem solving

Ownership

English communication

BI tools

Tools

Tableau

Power BI

Looker

Superset

DBT

Airflow

BigQuery

Snowflake

Postgres

Job description

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

Nebius is looking for a Product Data Analyst. In this role, you’ll build and maintain analytical assets that support day-to-day decision-making across the product & business domains. You’ll work end-to-end: from shaping raw data into reliable datasets, to creating dashboards stakeholders actually trust to running deeper analyses that clarify what’s happening and what to do next. You’ll also help develop 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:

• Master Product Analytics data and metrics & provide insights & consultancy to stakeholders and senior Management. from Product & Business domains. Act as their analytical thought partner and data focal point.

• 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:

• +4 years of experience as a product / business / data analyst

• Strong proficiency in Python and SQL, and confidence using Excel when it’s the fastest tool for the job. You can write readable queries/code and validate your outputs.

• Solid grounding in statistics and analytical thinking: descriptive statistics, hypothesis testing, regression fundamentals, and the ability to choose the right approach for the question.

• Experience producing clear, accurate visualizations and explaining what matters in plain language.

• High attention to detail and data quality mindset: you notice inconsistencies, validate definitions, and build checks instead of relying on hope.

• Structured problem solving: Turns vague business questions into clear metrics, hypotheses, and actionable analysis.

• Ownership & accountability: Takes work end-to-end, follows through, and proactively communicates progress/risks.

• Clear stakeholder communication: Explains insights simply, aligns definitions, and delivers concise summaries people can act on.

• Communication : Working knowledge of spoken and written English

It will be an added bonus if you have:

• Experience with BI tools (e.g., Tableau, Power BI, Looker, Superset).

• Familiarity with modern data stacks (DBT, Airflow, BigQuery/Snowflake/Postgres, etc.).

• Comfort with experiment analysis / cohort analysis / funnel metrics

Benefits & Perks:

• Competitive compensation


• Career growth and learning opportunities


• Flexibility and ownership


• Collaborative and innovative culture


• Opportunity to work on impactful AI projects


• International environment and talented teams

What's it like to work at Nebius:

Fast moving- Bold thinking- Constant growth- Meaningful impact- Trust and real ownership- Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.