Head Of Consumer Support Strategy and Operations
YouTube
San Bruno, CA
The Strategy, Business Operations, and Analytics and Decision Support (SBA) team works with YouTube leadership across the product, engineering, and business organizations to address challenges and opportunities across the company, help chart the direction for YouTube, and provide analytics and decision support.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we 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 ideas, solve real problems, and have fun - and we do it all together.
Resonsibilities:
• Lead the Ads Revenue and Margin Analytics team.
• Become the single point of contact with stakeholders across Business, Product, and Marketing.
• Work with the Strategy and Finance functions to support strategic/financial decision-making for the core ad-supported business and its drivers.
• Plan and prioritize work, lead, and deliver analytical projects.
• Collaborate with business, product, and marketing analytics and data science teams. Hire, grow, and manage a team of up to four analysts.
Qualifications:
Minimum qualifications:
• Bachelor's degree in a quantitative or scientific discipline (e.g., Business Analytics, Statistics, Data Science, Finance, Economics, etc.), or equivalent practical experience.
• 10 years of experience in project-based analytics.
• 5 years of people management experience.
Preferred qualifications:
• Master's degree in a quantitative, scientific, or business discipline (e.g., Business Analytics, Statistics, Data Science, Finance, Economics, etc.), MBA, or equivalent practical experience.
• Experience in leading a strategic and financial analytics team that focuses on interactive manipulation and analysis of datasets in SQL.
• Experience in predictive modeling and machine learning, including supervised and unsupervised learning.
• Experience in experimental design, execution, and measurement.
• Experience in cross-functional stakeholder collaboration, roadblock removal, continuous improvement of internal reporting, and self-service dashboarding tools.
Jobcode: Reference SBJ-r107jm-44-198-169-83-42 in your application.