As a Senior AI Product Analyst for the Pricing Knowledge Platform, you are a numbers-driven problem solver who enjoys building AI that can automate complex insights for the business. You will contribute to Sixt SE's pricing and revenue management by delivering hands-on analytics for an international business and turning manual tasks into automated capabilities.

Responsibilities include designing and implementing an agentic AI system that reads pricing data, extracts business logic, and provides source-grounded answers. You will build onboarding, logic-extraction, and analytics agents, and extend the platform to new pricing systems, with a path toward fully automated end-to-end onboarding.

You will grow into orchestrating the system, overseeing the agents that perform analysis, and shaping the architecture of an autonomous knowledge-and-analytics platform. You will prototype features and ship to production, covering data engineering, programming, modeling, and collaboration with business, engineering, and data teams. You will ensure trust by citing sources and validating accuracy.

Requirements include a university degree in an analytical field; experience in quantitative analytics and possibly ML/predictive analytics; background as a product/data analyst; strong Python or R, SQL, and Git; interest in AI agents and retrieval, prompting, and orchestration; understanding of translating business needs into production code; excellent communication in English.

As a Senior AI Product Analyst for the Pricing Knowledge Platform, you are a numbers-driven problem solver who enjoys building AI that can automate complex insights for the business. You will contribute to Sixt SE's pricing and revenue management by delivering hands-on analytics for an international business and turning manual tasks into automated capabilities.

Responsibilities include designing and implementing an agentic AI system that reads pricing data, extracts business logic, and provides source-grounded answers. You will build onboarding, logic-extraction, and analytics agents, and extend the platform to new pricing systems, with a path toward fully automated end-to-end onboarding.

You will grow into orchestrating the system, overseeing the agents that perform analysis, and shaping the architecture of an autonomous knowledge-and-analytics platform. You will prototype features and ship to production, covering data engineering, programming, modeling, and collaboration with business, engineering, and data teams. You will ensure trust by citing sources and validating accuracy.

Requirements include a university degree in an analytical field; experience in quantitative analytics and possibly ML/predictive analytics; background as a product/data analyst; strong Python or R, SQL, and Git; interest in AI agents and retrieval, prompting, and orchestration; understanding of translating business needs into production code; excellent communication in English.