{"id":3019269,"url":"https://alion.io/job/nebius-product-data-analyst","title":"Product Data Analyst","company":{"id":6364,"name":"Nebius","domain":"nebius.com","url":"https://alion.io/company/nebius","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":110,"ghost_share":0,"stale_share":0.618,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":110000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Google BigQuery","optional":true},{"name":"Looker","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Power BI","optional":true},{"name":"Snowflake","optional":true},{"name":"Superset","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-21T15:39:27Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-26T15:03:31Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About Nebius:\nNebius 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.\nBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\nListed 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.\nThe role\nNebius is looking for a Product Data Analyst. In this role, you’ll build and maintain analytical assets that support day-to-day decision-making across the product & businessdomains. You’ll work end-to-end: from shaping raw data into reliable datasets, to creating dashboards stakeholders actually trustto 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. \nYou’re welcome to work in our office in Amsterdam \nYour responsibilities will include: \nMaster Product Analytics data and metrics &provide insights & consultancy to stakeholders and senior Management. from Product & Businessdomains. Act as their analytical thought partner and data focal point. \nDashboard development. Design, implement, document, and maintain interactive dashboards used by business stakeholders. Improve existing dashboards by optimizing usability, performance, and metric definitions. \nData 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. \n AI-driven analytics. 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. \n 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. \n Stakeholder collaboration. Clarify requirements, align on definitions (KPIs/metrics), and present results in a way that supports decisions-not just “interesting numbers.” \nWe expect you to have: \n+4 years of experience as a product / business / data analyst \nStrong proficiencyin Python and SQL, and confidence using Excel when it’sthe fastest tool for the job. You can write readable queries/code and validateyour outputs. \nSolid grounding in statistics and analytical thinking: descriptive statistics, hypothesis testing, regression fundamentals, and the ability to choose the right approach for the question. \nExperience producing clear, accurate visualizations and explaining what matters in plain language. \nHigh attention to detail and data quality mindset: you notice inconsistencies, validate definitions, and build checks instead of relying on hope. \nStructured problem solving: Turns vague business questions into clear metrics, hypotheses, and actionable analysis. \nOwnership & accountability: Takes work end-to-end, follows through, and proactively communicates progress/risks. \nClear stakeholder communication: Explains insights simply, alignsdefinitions, and delivers concise summaries people can act on. \nCommunication : Working knowledge of spoken and written English \nIt will be an added bonus if you have: \nExperience with BI tools (e.g., Tableau, Power BI, Looker, Superset). \nFamiliarity with modern data stacks (DBT, Airflow, BigQuery/Snowflake/Postgres, etc.). \nComfort with experiment analysis / cohort analysis / funnel metrics \nBenefits & Perks:\nCompetitive compensation\nCareer growth and learning opportunities\nFlexibility and ownership\nCollaborative and innovative culture\nOpportunity to work on impactful AI projects\nInternational environment and talented teams\nWhat's it like to work at Nebius:\nFast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI \nEqual Opportunity Statement:\nNebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.\nApplicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. \nIf you need accommodations during the application process, please let us know.","description_format":"text","description_chars":5235,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Centers & Colocation","Cloud Platforms (IaaS & PaaS)","AI Compute & Inference"],"lifecycle":[{"event":"open","at":"2026-10-21T17:22:20Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":60,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/nebius-product-data-analyst","json_url":"https://alion.io/job/nebius-product-data-analyst.json","meta":{"generated_at":"2026-10-26T17:06:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":22899,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6364},"rest":"https://alion.io/mcp/rest/get_company?id=6364"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnebius-product-data-analyst"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnebius-product-data-analyst"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnebius-product-data-analyst"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nebius-product-data-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnebius-product-data-analyst"}]}