Senior Product Analyst / Data Scientist

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Analyst / Data Scientist based in Italy. In this role, you will combine advanced data analytics, data science, and commercial strategy to drive product and business decisions within a rapidly growing AI cloud infrastructure environment. You will take end-to-end ownership of complex analytical challenges, from building reliable datasets and defining key performance metrics to developing actionable recommendations. Working with large-scale customer, product, and usage data, you will help optimize customer experiences, improve capacity utilization, and identify new growth opportunities. You will also contribute to pricing strategies, monetization models, and commercial planning for innovative AI infrastructure services. Collaborating closely with Product, Engineering, Finance, Sales, and Applied AI teams, you will turn data insights into tangible business outcomes. This is an opportunity to work at the intersection of AI, cloud technology, and data-driven decision-making, with significant autonomy and ownership in an international, fast-paced environment. Accountabilities: - Define, develop, and maintain core product and business metrics, establishing a reliable single source of truth that supports decision-making across Product, Finance, and Sales. - Build a comprehensive understanding of self-service customers by analyzing usage patterns, customer health, satisfaction, retention risks, unmet needs, and potential growth opportunities. - Collect, process, and analyze large-scale customer, product, and operational datasets to uncover trends, identify business opportunities, and support strategic decisions. - Translate customer demand, business objectives, and commercial plans into accurate capacity forecasts, helping teams make informed capacity allocation decisions.

- Monitor and evaluate effective capacity utilization, identifying opportunities to optimize available resources and maximize their commercial value. - Design, assess, and improve pricing and packaging strategies, including guaranteed capacity, on-demand pricing, customer commitments, clawback mechanisms, and provisioned throughput units. - Develop data-driven recommendations for self-service and managed service offerings, covering customer segmentation, pricing structures, capacity planning, and monetization opportunities. - Take end-to-end ownership of analytical projects, from defining business questions and building data pipelines to conducting statistical analyses and delivering production-ready solutions. - Use Python, SQL, statistical methods, and distributed data-processing tools to generate reliable insights and support scalable analytical workflows. - Leverage AI-assisted coding tools to accelerate development and analysis while ensuring the accuracy, quality, and reliability of the resulting solutions. - Translate complex analytical findings into clear, actionable recommendations that influence product strategy, commercial decisions, and operational improvements. - Collaborate with cross-functional stakeholders across Product, Engineering, Applied AI, Finance, Sales, and Operations to turn insights into measurable business impact. Requirements: - At least 5 years of professional experience in product analytics, data science, business analytics, or a closely related analytical discipline. - Strong technical proficiency in Python and SQL, combined with a solid understanding of statistics and the analytical methods used to interpret complex datasets. - Hands-on experience analyzing large-scale customer, product, and usage data using statistical techniques, analytical frameworks, or distributed data-processing technologies. - Proven ability to take analytical projects from initial business questions through data preparation, analysis, solution development, and production-ready implementation.