Minimum qualifications:

Bachelor's degree or equivalent practical experience.
5 years of experience in marketing analytics, return on investment analysis, and statistical modeling.
Experience in designing and executing incrementality studies and A/B testing frameworks.
Experience in managing external and internal stakeholder relationships and owning a portfolio of customers.

Preferred qualifications:

Experience in Media Mix Modeling (MMM), Incremenality and Multi-Touch Attribution (MTA) tools, with the ability to validate and integrate results from multiple measurement sources.
Experience in SQL, Python, or R for building data models and gathering insights from datasets.
Experience in defining measurement frameworks for mid-funnel and audience acquisition goals, and moving beyond traditional conversion tracking.
Knowledge of the technical trends around privacy-safe measurement, conversion analytics, and attribution best practices.

About the jobBusinesses of all shapes and sizes rely on Google's unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. Google creates products and services that make the world a better place, and gTech's role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video .

Responsibilities

Develop an understanding of client marketing and business goals (e.g., Marketing Objective/Client Business Objectives (MOs/CBOs)). Design measurement strategies and define sophisticated Key Performance Indicators (KPIs) tailored to client maturity and eligibility.
Lead the execution of measurement studies including conversion lift, brand lift, and geo-based experiment. Ensure statistical significance (StatSig) on all uplift data.
Utilize investigative skills to model experimental results and triage them into media plan Return on Investment (ROI) analysis. Analyze attribute lift across channels to inform channel strategy and budget allocation.
Reconcile data sources (e.g., Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and Incrementality) to provide a unified narrative of media effectiveness, help clients navigate the shift toward third-party measurement.
Partner with in-market sales and product specialist teams to interpret measurement results for client leadership.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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