Senior Analytical Lead

Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. The Global Business Organization (GBO) powers Google’s full ecosystem of products and services to help customers and partners succeed and grow. GBO includes Ads sellers, business development teams, customer services and support, and overlay programs for coordinated engagement with Google's most complex and important customers and partners.

• Bachelor's degree or equivalent practical experience.
• 8 years of industry experience in digital advertising, consultative sales, media analytics, or financial analysis, or 6 years with an advanced degree.
• 6 years of experience working with advertisers, agencies, or clients.

Preferred qualifications:

• Experience with Google Ad Solutions, expertise in video advertising (AI-powered Performance and Video, CTV), understanding of participants landscape across traditional and digital media advertising.
• Ability to develop business plans in complex, ambiguous environments, influence/collaborate across organizations, and drive business success for the customer and Google.
• Expert knowledge of measurement science, including offline measurement, Marketing Mix Models (MMM), Multi-Touch Attribution (MTA), and causal impact analysis.
• Experience implementing experimental design (A/B testing) and causal inference to measure business incrementality.
• Advanced proficiency in SQL and database management, able to build automated reporting workflows, materializing tables, and creating data visualizations.

• Engage and influence key decision-makers, including C-level executives, building trusted relationships to understand their core business tests and strategic priorities.
• Develop and own problem solving modeling for key projects. Transform datasets into actionable insights, presented through reasoning and compelling narratives that facilitate high-level business decision-making.
• Lead the development of Joint Business Plans, aligning with customers on goals and establishing shared accountability to unlock transformative growth opportunities.
• Design and deploy experimental designs (e.g., A/B testing) and causal inference models to measure incrementality. Use measurement science (e.g., Marketing Mix Modeling (MMM), attribution, causal impact) to prove Google’s value against customer objectives.
• Distill complex technical data into compelling presentations for executive and general audiences. Pitch tailored, data-driven Google solutions by combining product knowledge with storytelling to navigate objections, secure investment, and exceed business growth goals.

Google is an equal opportunity workplace and affirmative action employer committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Qualified applicants are considered regardless of criminal histories, consistent with legal requirements. Accommodations for applicants with disabilities are available upon request.