Marketing Analytics Team Lead, Ads Marketing Analytics (english)

Marketing Analytics Team Lead, Ads Marketing Analytics (English)

Google Ads Marketing aims to help advertisers of all sizes succeed with digital marketing. You will work with a team to advance the science of Marketing to customers that use Google's advertising solutions.

The Ads Marketing Analytics team builds analytical frameworks, measurement capabilities and GenAI analytics solutions to generate data driven insights that drive Ads business growth. As a Marketing Analytics Team Lead, you will lead a team of business data scientists, business analysts and data engineers. The team will build and maintain data infrastructure that fuels our marketing measurement, perform deep data analytics, drive initiatives in experimentation and run advanced machine learning capabilities to support global Ads marketing programs.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Responsibilities

• Own key measurement and analytical projects, including building out data infrastructure/pipelines for marketing measurement, prototyping GenAI analytics solutions, conducting analytics to provide data-driven insights, or lead initiatives in experimentation, measurement, and advanced machine learning to support global Ads Marketing programs.
• Frame and translate business questions into appropriate analytical studies, owning the projects end-to-end, covering problem definition, metrics development, data extraction and manipulation, visualization/dashboarding, and implementation of analytical/statistical models, as well as presentation to stakeholders with actionable recommendations.
• Be a trusted advisor and thought leader to key cross-functional stakeholders and global team colleagues through insights and recommendations to achieve strategic business goals, and remove obstacles for the team for data pipelines/workflows, experiments and other projects.
• Focus on growing and elevating skills of a high-performing team.