Senior Data Analyst (Hardware Automation)

Nebius·Amsterdam, Netherlands·23 июля

Senior Data Analyst (Hardware Automation)

🏢 ОфисSeniorПолная занятость

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Наша компания

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.

Чем предстоит заниматься

The Hardware Infrastructure Automation team at Nebius operates at the intersection of physical infrastructure and intelligent software systems. We build the data layer that drives automation and operational decisions for our global hardware fleet

We are looking for a Senior Data Analyst who can work end-to-end — from data modelling and pipeline engineering to dashboards and business recommendations. You will be a full owner of analytical projects: defining the problem, building the solution, and driving adoption with stakeholders

You will work closely with SWE, SRE, and frontend teams to surface insights that directly influence how we scale and automate our infrastructure. If you are equally comfortable writing Python and SQL as you are presenting findings to leadership, this role is for you

End-to-end project ownership. Lead analytical projects independently from scoping and data modelling through to delivery and iteration. Define success metrics, manage timelines, and communicate progress without supervision

Data engineering. Build and maintain reliable data pipelines using Python and SQL. Validate sources, monitor data quality, improve freshness, and ensure models are well-documented and reusable by the team

Dashboard development. Design and implement dashboards that give SWE, SRE, and frontend teams clear visibility into fleet health, utilisation, capacity, and automation coverage. Own dashboard quality and iteratively improve based on user feedback

Infrastructure analytics. Analyse large-scale hardware telemetry and operational data to identify bottlenecks, anomalies, and optimisation opportunities. Translate complex infrastructure signals into clear, actionable recommendations

Automation insight. Support the team's automation roadmap by quantifying the impact of automation initiatives, identifying gaps in coverage, and modelling scenarios that inform prioritisation

Stakeholder collaboration. Work directly with HW RnD, IT Operations, DC Operations, Logistics, and other teams to clarify requirements, align on metrics, and present results in a way that supports engineering decisions — not just "interesting numbers"

Analytical best practices. Raise the standard of analytical work in the team through documentation, metric definitions, code reviews, and mentoring less experienced colleagues where relevant

Наши требования

Significant experience as a Data Analyst, Senior Data Analyst, or in a similar role with strong technical ownership

Strong proficiency in Python and SQL — you write clean, production-quality code, not just scripts

Proven experience building and maintaining dashboards used by engineering or operations teams

Experience owning analytical projects end-to-end: from data modelling and pipeline development through to stakeholder delivery

Solid grounding in statistics and analytical thinking, including descriptive analytics, hypothesis testing, and regression fundamentals

Strong attention to data quality, including validating definitions, identifying inconsistencies, and implementing monitoring

Comfort working with large, complex, and sometimes ambiguous datasets — including telemetry, logs, or operational data

Ability to communicate technical findings clearly to non-technical audiences, including senior leadership

Strong problem-solving skills — you break down ambiguous questions, form hypotheses, and identify practical next steps independently

Working knowledge of spoken and written English

Experience with hardware infrastructure, data centre operations, or cloud infrastructure analytics

Familiarity with modern data stacks such as 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

Experience mentoring other analysts or contributing to team standards and documentation

Мы предлагаем

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

Дополнительно

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

Nebius

Amsterdam, Netherlands

ГрейдSenior

ЗанятостьПолная занятость

РегионНидерланды

ФорматОфис

ИсточникСкрыто

Опубликовано23 июля

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