Senior Data Analyst (Hardware Automation)

TL;DR

Senior Data Analyst (Hardware Automation) (AI Cloud): Building the data layer for global hardware fleet automation with an accent on data modelling, pipeline engineering, and infrastructure analytics. Focus on identifying hardware bottlenecks through telemetry analysis and translating complex signals into actionable engineering recommendations.

Location: Amsterdam, Netherlands

Company

Nebius is a full-stack AI cloud platform providing GPU orchestration and infrastructure for developers and enterprises in the global AI economy.

What you will do

• Lead end-to-end analytical projects from scoping and data modelling to delivery and iteration.
• Build and maintain reliable data pipelines using Python and SQL, ensuring data quality and documentation.
• Design and implement dashboards for SWE and SRE teams to monitor fleet health, utilisation, and capacity.
• Analyze large-scale hardware telemetry and operational data to identify bottlenecks and optimization opportunities.
• Quantify the impact of automation initiatives to support the team's technical roadmap and prioritization.
• Collaborate with HW RnD, IT, and DC Operations to align on metrics and support engineering decisions.

Requirements

• Significant experience as a Senior Data Analyst with strong technical ownership.
• Proficiency in writing clean, production-quality code in Python and SQL.
• Proven experience building and maintaining dashboards for engineering or operations teams.
• Solid grounding in statistics, including descriptive analytics, hypothesis testing, and regression.
• Ability to handle large, complex, and ambiguous datasets such as telemetry and logs.
• Must be authorized to work in the Netherlands.

Nice to have

• Experience with hardware infrastructure, data centre operations, or cloud infrastructure analytics.
• Familiarity with dbt, Airflow, BigQuery, Snowflake, or PostgreSQL.
• Experience with BI tools such as Tableau, Power BI, Looker, or Superset.
• Background in automation analytics, capacity planning, or fleet management.

Culture & Benefits

• Competitive compensation and international environment with talented teams.
• Focus on flexibility, ownership, and constant career growth.
• Collaborative and innovative culture working on impactful AI projects.
• Opportunity to shape the future of AI infrastructure.