Join the YouTube Business Strategy & Operations team, a vital part of an organization that empowers creators, artists, and media companies worldwide. This role contributes to shaping go-to-market strategies and driving growth within the YouTube Business Organization. You'll be immersed in a community of analytics professionals, working on critical data infrastructure that supports business operations and analyzes content partnerships and the creator ecosystem.

At YouTube, our mission is to give everyone the power to share their story and connect with others. We operate at the intersection of technology and creativity, moving at the speed of culture to showcase the world. If you're passionate about solving real problems and exploring new ideas, this is the place for you.

Your contributions will involve productionizing and scaling valuable capabilities, including data integrations, transformations, and model features. You'll be instrumental in building and maintaining robust data platforms that ensure data reliability, integrity, and governance, leading to accurate and trustworthy datasets.

Key responsibilities include conducting requirements gathering sessions with stakeholders to define business data needs, designing, building, and optimizing data architecture and ETL pipelines, and crafting comprehensive end-user and technical documentation. You will also establish best practices for datasets and reporting, developing expertise across various data domains.

We are seeking individuals with a Bachelor's degree or equivalent practical experience, coupled with at least 3 years of experience in coding across various programming languages. A strong background in designing data pipelines and dimensional data modeling for both synchronous and asynchronous system integration is essential.

Your experience should also encompass working with data infrastructure and data models through exploratory queries and scripts. Preferred qualifications include a Master’s degree in a quantitative field, experience with data warehouses and large-scale distributed data platforms, and proficiency in artificial intelligence and Gen AI data applications. Excellent analytical, communication, and organizational skills are crucial for navigating complexity and ambiguity in a dynamic environment.