Product Growth Analytics Lead

Job not on LinkedIn

🕒 July 29

🇳🇱 Netherlands – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities. • Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions. • Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity. • Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units. • Provide data-driven recommendations for the self-service and managed offerings, including customer segmentation, pricing, capacity, and product priorities. • Partner with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements.

🎯 Requirements

• Strong commercial and product judgment, with the ability to balance customer value, monetization, growth, and profitability. • Hands-on experience analysing large-scale customer, product, and usage datasets using analytical or distributed data-processing tools. • Strong financial modelling skills and the ability to turn complex data into clear recommendations. • Experience with pricing, packaging, monetization, or commercial analytics for technical or consumption-based products. • Strong cross-functional collaboration skills across Product, Engineering, Data, Finance, Sales, and Operations. • A hands-on and proactive working style, with the ability to operate effectively in an ambiguous and technically complex environment.

🏖️ Benefits

• 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