Senior Product Analytics Lead, AI Cloud Platform

Nebius Group; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Nebius Group is shaping the AI cloud era with end-to-end analytics that guide product, pricing and capacity decisions. You will own questions from data build to actionable recommendations, delivering impact for self-service and managed offerings.

Join a cross-functional team collaborating with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements.

Qualifications

• 5+ years of experience in analytics or data science.
• Strong Python, SQL and statistics skills.
• Experience analysing large-scale customer, product and usage data.
• AI-assisted coding as your default way of working.
• Ability to turn questions into production-ready solutions.
• Strong cross-functional collaboration across Product, Engineering, Data, Finance, Sales and Operations.

Responsibilities

• Define core product and business metrics and build a single source of truth for Product, Finance, and Sales.
• Build a comprehensive view of self-service customers, including usage patterns and retention risks.
• Translate demand into capacity forecasts and support allocation decisions.
• Measure capacity utilization and identify opportunities to improve value.
• Develop and evaluate pricing and packaging models for capacity and throughput.
• Provide data-driven recommendations for self-service and managed offerings and partner with cross-functional teams to implement improvements.

Skills

Python

SQL

Statistics

AI-assisted coding

Production-ready delivery

Cross-functional collaboration

Job description

Nebius Group is shaping the AI cloud era with end-to-end analytics that guide product, pricing and capacity decisions. You will own questions from data build to actionable recommendations, delivering impact for self-service and managed offerings.

Join a cross-functional team collaborating with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements.