
Product Growth Analytics Lead
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Amsterdam, Netherlands"), this listing's salary midpoint is about 95% lower. The offer sits below the benchmark range (€1,667–€13,890). The listed pay band (€307–€500) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 5 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Amsterdam, Netherlands | €1,667/per month | €8,102/per month | €13,890/per month |
| Pay in our data — not quoted in ad (Senior) | €307/per month | €404/per month | €500/per month |
Nebius Token Factory is looking for a Product Growth Analytics Lead. You can work from our offices in Amsterdam or London, or remotely from any EU country. Your responsibilities will include: - 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. We expect you to have: - 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.
Job Details
Responsibilities
- Build comprehensive view of self-service customers and usage patterns
- Translate customer demand into capacity forecasts
- Measure and optimize effective capacity utilization
- Develop and evaluate pricing and packaging models
- Provide data-driven recommendations for customer segmentation and product priorities
- Collaborate with Product, Engineering, AI, Finance, and Sales for operational improvements
Requirements
- Strong commercial and product judgment
- Experience analyzing large-scale customer, product, and usage datasets
- Strong financial modelling skills
- Experience with pricing, packaging, or monetization for technical/consumption-based products
- Strong cross-functional collaboration skills
- Proactive working style in ambiguous and complex environments
Skills & Technologies

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