Product Data Analyst: AI Analytics & Dashboards

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

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