Lead a portfolio of data-driven analysis projects within a technical team to guide and support decision making for YouTube.

Build relationships with the YouTube team and present the Finance Point of View (POV) in various decision-making forums.

Design infrastructure and tooling to assess the value customers derive from YouTube products (such as Demand Gen and Brand), and identify opportunities to accelerate budgets.

Build tooling to decompose growth drivers and surface areas of opportunity across all regions and channels.

Drive the development of next-generation opportunity sizing methods and tooling, collaborate with partner teams (e.g. Brand Planner) to deliver consistent, high-quality work to leaders and sellers, including contributing to the statistical incrementality workstream and co-developing new methodologies with Econ.

Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.

3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.