Senior Data Analyst, AI Infra & Automation

AI Chopping Block; Amsterdam; On-site; EUR 80,000 - 120,000; 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 Senior Data Analyst to own analytical projects end-to-end, from data modeling to dashboard delivery. You will work with SWE, SRE, and frontend teams to surface insights that influence how we scale and automate our hardware fleet. Proficiency in Python, SQL, and dashboarding is essential.

Join Nebius in Amsterdam to shape the data-driven future of a leading AI cloud platform, with cross‑functional collaboration and ownership of impactful analytics projects across the org.

Qualifications

• Strong Python and SQL skills with production-quality code.

Responsibilities

• Lead end-to-end analytical projects from scoping and data modeling to delivery and iteration.
• Build and maintain reliable data pipelines using Python and SQL.
• Design dashboards for engineering, SRE, and frontend teams to monitor fleet health and automation.
• Analyze large-scale hardware telemetry to identify bottlenecks and opportunities.
• Collaborate with HW RnD, IT Operations, and other teams to align metrics and present results to leadership.

Skills

Python

SQL

Data modeling

Data pipelines

Statistics

Communication

English

Education

Bachelor's or higher in a relevant field

Tools

dbt

Airflow

BigQuery

Snowflake

PostgreSQL

Tableau

Power BI

Job description

Nebius is hiring a Senior Data Analyst to own analytical projects end-to-end, from data modeling to dashboard delivery. You will work with SWE, SRE, and frontend teams to surface insights that influence how we scale and automate our hardware fleet. Proficiency in Python, SQL, and dashboarding is essential.

Join Nebius in Amsterdam to shape the data-driven future of a leading AI cloud platform, with cross‑functional collaboration and ownership of impactful analytics projects across the org.