Analytical Lead, Brand Deals in YouTube

About the Job

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Responsibilities

• Build and analyze data products that assist YouTube Business divisions, specifically focused on Brand Agreements and Influence business strategy.
• Convert commercial requirements into technical frameworks by applying extensive role-specific expertise and utilizing Google's internal processes and technologies.
• Generate Insights from both internal and external datasets, using these findings to influence and align key stakeholders.
• Build scalable infrastructure to measure Brand Agreement success of all initiatives.
• Collaborate with the analyst group to identify friction in data sourcing and user journeys, while advocating for standardized best practices and conducting training sessions.

Qualifications

Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 5 years of experience in analytics, business intelligence (BI), or data engineering.
• Experience with relational databases including SQL queries, database definition, and schema design.

Preferred qualifications:

• Experience in product management, developing and managing a portfolio of data products (e.g., dashboards, self-service tools), emphasizing user needs, adoption, and reliability for an internal user base.
• Experience in modern BI/data visualization platforms (e.g., Looker, Tableau), adoption of new tools and methodologies in a leadership role at a technology company or consulting firm.