Strategy and Operations Analyst, YouTube Ads GTM

As a part of The YouTube Ads Go-to-Market (GTM) Strategy and Operations team, you will bridge the gap between YouTube Ads product teams and regional commercialization teams. Your mission is to fuel growth by scaling innovation to customers, creators, and viewers by translating global market needs into meaningful product solutions.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $124000 - $177000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Drive hypothesis-driven business strategy for YouTube products across users, partners, and creators.
• Develop GTM plans, execute communication documents, and lead experiments/trusted tester programs.
• Establish operational excellence by setting and tracking Objectives and Key Results (OKRs) and driving annual business planning.
• Gather market intelligence and conduct analyses and modeling to develop insights and SQL-based dashboards.
• Build actionable plans and roadmaps and align cross-functional stakeholders to drive successful implementation of change initiatives.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in management consulting, sales operations, business strategy, or corporate advisory role.
• 3 years of experience working with executive stakeholders.

Preferred qualifications:

• 2 years of experience creating complex data sets, data modeling, and reporting.
• 2 years of experience in advertising, consultative sales, business development, or a digital media environment.
• Experience in consumer internet and media industries.
• Experience using SQL or data analytics tools to deliver insights and recommendations.
• Experience with controlled experiments, causal studies, and communicating technical results to non-technical audiences.