Join a team passionate about empowering businesses with Google's leading advertising solutions. This role focuses on driving growth in a dynamic marketing landscape. You will act with ownership, embrace change, and find innovative strategies to deliver exceptional outcomes for both Google and its clients. Building trusted relationships and translating client needs into powerful solutions are key to achieving ambitious business goals.

Google's gTech organization is dedicated to bringing its innovative products and services to life globally. Our expert teams provide trusted advisory services, leveraging technical acumen, deep product knowledge, and a comprehensive understanding of complex customer challenges. We develop bespoke solutions and scalable tools to ensure clients maximize the potential of Google products.

Develop a profound understanding of client marketing and business objectives. Design optimal measurement strategies, defining sophisticated KPIs tailored to client maturity.

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

Employ advanced analytical skills to model experimental outcomes and integrate 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 view of media effectiveness, assisting clients in navigating the shift towards third-party measurement. Partner with In-Market Sales and Product Specialist teams to communicate complex measurement results to client leadership.

A Bachelor's degree or equivalent practical experience is required, complemented by 5 years of experience in marketing analytics, return on investment, and statistical analysis.

Demonstrated experience in designing and executing incrementality studies and A/B testing frameworks. Proven ability in managing relationships with external and internal stakeholders, and owning a portfolio of customers.

Preferred qualifications include expertise in SQL, Python, or R for data modeling and insights extraction from complex datasets. Experience in defining measurement frameworks for mid-funnel and audience acquisition goals, extending beyond traditional last-click conversion tracking.

Specialized experience with Media Mix Modeling (MMM), Incrementality, and Multi-Touch Attribution (MTA) tools is highly valued, along with the capability to validate and integrate results from various measurement "sources of truth." A deep understanding of technical trends in privacy-safe measurement, conversion analytics, and attribution best practices is essential.