Product Data Analyst

Academic Key; Amsterdam; Remote; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Impactful AI projects

International environment

Job summary

Nebius is hiring a Product Data Analyst to build and maintain analytics assets for daily decision-making across product and business domains. You’ll shape raw data into reliable datasets, create trusted dashboards, and run deeper analyses to clarify actions for stakeholders.

You’ll also contribute to AI-assisted analytics tools and data quality checks. The role emphasizes end-to-end ownership, strong communication with stakeholders, and the ability to translate complex data into actionable

Qualifications

• +4 years of experience as a product / business / data analyst.
• Proficiency in Python and SQL; able to write readable queries and validate outputs.
• Solid grounding in statistics and analytical thinking.
• Experience producing clear visualizations and explaining results in plain language.
• Attention to data quality and ability to build checks.
• Strong stakeholder collaboration and end-to-end ownership.
• English language proficiency.

Responsibilities

• Master Product Analytics data and provide insights 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.
• 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."

Skills

Python

SQL

Excel

Statistics

Data Visualization

Stakeholder communication

English

Tools

Tableau

Power BI

Looker

Superset

Job description

Product Data Analyst

Nebius · Amsterdam

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.

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, s