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Product Data Analyst

Nebius

Amsterdam, Netherlands · Netherlands
Salary undisclosed
full_time
onsite
English

Posted 11h ago · Oct 21, 2026

Job description

<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>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.</p> <p>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.</p> <p>Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&amp;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&amp;D.</p></div><h3><strong><span data-ccp-props="{}">The role</span></strong></h3> <p><span data-ccp-props="{}">Nebius is looking for&nbsp;</span><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">a&nbsp;</span><span data-ccp-parastyle="Normal (Web)">Product </span><span data-ccp-parastyle="Normal (Web)">Data Analyst. In this role, you’ll build and maintain analytical assets that support day-to-day decision-making across the </span><span data-ccp-parastyle="Normal (Web)">product </span><span data-ccp-parastyle="Normal (Web)">&amp; </span><span data-ccp-parastyle="Normal (Web)">business</span><span data-ccp-parastyle="Normal (Web)"> domains</span><span data-ccp-parastyle="Normal (Web)">. You’ll work end-to-end: from shaping raw data into reliable datasets, to creating dashboards stakeholders </span><span data-ccp-parastyle="Normal (Web)">actually trust</span><span data-ccp-parastyle="Normal (Web)"> 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.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">&nbsp;</span></p> <p><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">You’re welcome to work in our office in </span><span data-ccp-parastyle="Normal (Web)">Amsterdam</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">&nbsp;</span></p> <p>&nbsp;</p> <p><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">Your responsibilities will include:</span></span></strong><span data-ccp-props="{"134233117":true,"134233118":true}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">Master Product Analytics data and </span><span data-ccp-charstyle="Strong">metrics &amp;</span> <span data-ccp-charstyle="Strong">provide insights</span></span></strong><span data-contrast="auto"><span data-ccp-charstyle="Strong"> &amp; consultancy to stakeholders and senior </span><span data-ccp-charstyle="Strong">Management</span><span data-ccp-charstyle="Strong">. from Product &amp; </span><span data-ccp-charstyle="Strong">Business</span><span data-ccp-charstyle="Strong"> domains. Act as their analytical thought partner and </span><span data-ccp-charstyle="Strong">data </span><span data-ccp-charstyle="Strong">focal point</span><span data-ccp-charstyle="Strong">.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">Dashboard development.</span></span></strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)"> Design, implement, document, and maintain interactive dashboards used by business stakeholders. Improve existing dashboards by optimizing usability, performance, and metric definitions.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">Data engineering support.</span></span></strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)"> 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.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">AI-driven analytics. </span></span></strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">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.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">Exploratory and ad-hoc analysis. </span></span></strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">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.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1"><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">Stakeholder collaboration. </span></span></strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">Clarify requirements, align on definitions (KPIs/metrics), and present results in a way that supports decisions—not just “interesting numbers.”</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">&nbsp;</span></li> </ul> <p><strong><span data-contrast="auto"><span data-ccp-charstyle="Strong">We expect you to have:</span></span></strong><span data-ccp-props="{"134233117":true,"134233118":true}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">+4 </span><span data-ccp-parastyle="Normal (Web)">years </span><span data-ccp-parastyle="Normal (Web)">of </span><span data-ccp-parastyle="Normal (Web)">experience</span></span></strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)"> as a product / business / data analyst</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">Strong </span><span data-ccp-parastyle="Normal (Web)">proficiency</span><span data-ccp-parastyle="Normal (Web)"> in Python and SQL</span></span></strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">, and confidence using Excel when </span><span data-ccp-parastyle="Normal (Web)">it’s</span><span data-ccp-parastyle="Normal (Web)"> the fastest tool for the job. You can write </span><span data-ccp-parastyle="Normal (Web)">readable </span><span data-ccp-parastyle="Normal (Web)">queries/code </span><span data-ccp-parastyle="Normal (Web)">and validate</span><span data-ccp-parastyle="Normal (Web)"> your outputs.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1"><strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">Solid grounding in statistics and analytical thinking</span></span></strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">: descriptive statistics, hypothesis testing, regression fundamentals, and the ability to choose the right approach for the question.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">Experience producing clear, accurate visualizations</span></span></strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)"> and explaining what matters in plain language.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1"><strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">High attention to detail and data quality mindset</span></span></strong><span data-contrast="auto"><span data-ccp-parastyle="Normal (Web)">: you notice inconsistencies, validate definitions, and build checks instead of relying on hope.</span></span><span data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symb

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