Join our innovative gTech team and empower businesses globally by bringing Google's leading products and services to life. We are looking for experts who thrive on technical challenges and deeply understand customer needs. Your work will directly contribute to customer success, ensuring they leverage the full potential of Google's offerings through bespoke solutions and scalable tools.

This role is integral to our mission of helping companies grow in a dynamic marketing landscape. You will act as a trusted advisor, building strong client relationships and translating their business objectives into impactful solutions. By collaborating with sales and product teams, you will shape the future of advertising in the AI era, driving significant outcomes for both Google and our clients.

Develop a comprehensive understanding of client marketing and business objectives to design optimal measurement strategies and sophisticated KPIs tailored to their maturity level.

Lead the full execution of critical measurement studies, including Conversion Lift, Brand Lift, XNR, and Geo-based Experiments, ensuring statistical significance for all uplift data.

Employ advanced investigative techniques to model experimental results and integrate them into broader media plan ROI analyses. Analyze channel-specific lift to inform high-level channel strategy and budget allocation.

Reconcile diverse data sources such as MMM, MTA, and Incrementality to present a cohesive narrative on media effectiveness, guiding clients through the evolving landscape of third-party measurement. Partner with In-Market Sales and Product Specialist teams to interpret complex measurement findings for client leadership.

A Bachelor's degree or equivalent practical experience is required.

Possess a minimum of 5 years of experience in marketing analytics, return on investment analysis, and statistical analysis.

Demonstrated experience in designing and executing incrementality studies and A/B testing frameworks is essential.

Proven ability to manage external and internal stakeholder relationships and take ownership of a customer portfolio.

Preferred qualifications include expertise in SQL, Python, or R for data modeling and insight extraction from large datasets. Experience defining measurement frameworks for mid-funnel and audience acquisition goals, moving beyond last-click attribution, is highly valued. Specialized knowledge in Media Mix Modeling (MMM), Incrementality, and Multi-Touch Attribution (MTA) tools, with the capacity to validate and integrate results from multiple measurement sources, is a significant advantage. A deep understanding of privacy-safe measurement trends, conversion analytics, and attribution best practices is also beneficial.