Join a dynamic team at Google, leveraging unparalleled advertising solutions to empower businesses in today's evolving marketing landscape. This role offers the opportunity to make a significant impact on millions of companies and billions of users worldwide.

We are seeking passionate individuals with expertise in online media and a dedication to maximizing customer success. You'll act with ownership, navigate change with agility, and drive innovative strategies to deliver exceptional and incremental outcomes for both Google and our clients.

Our gTech teams are global advisors, rooted in technical skill and product expertise. We provide bespoke solutions and scalable tools to ensure clients harness the full potential of Google products.

Develop a profound understanding of client marketing and business objectives. Design sophisticated measurement strategies and define tailored Key Performance Indicators (KPIs) aligned with client maturity levels.

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

Employ advanced investigative skills to model experimental results, translating them into broader media plan Return on Investment (ROI) analyses. Analyze attribute lift across channels to guide high-level channel strategy and budget allocation.

Reconcile diverse data sources such as MMM, MTA, and Incrementality to present a cohesive narrative of media effectiveness, assisting clients in their transition towards third-party measurement. Partner with In-Market Sales and Product Specialist teams to effectively communicate complex measurement findings to client leadership.

A Bachelor's degree or equivalent practical experience is required, coupled with a minimum of 5 years in marketing analytics, ROI analysis, and statistical analysis.

Demonstrated experience in developing and implementing incrementality studies and A/B testing frameworks is essential. You should also possess proven experience managing relationships with both external and internal stakeholders, along with owning a portfolio of clients.

Expertise in SQL, Python, or R for data modeling and extracting insights from large, complex datasets is highly advantageous. Experience in defining measurement frameworks for mid-funnel and audience acquisition goals, extending beyond traditional last-click conversion tracking, is preferred.

Specialized knowledge in Media Mix Modeling (MMM), Incrementality, and Multi-Touch Attribution (MTA) tools is a plus, as is the ability to validate and integrate insights from multiple measurement sources. A deep comprehension of technical trends in privacy-safe measurement, conversion analytics, and attribution best practices is also valued.