Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, or related field, or equivalent practical experience.
• 5 years of experience working or consulting in marketing or digital media.
• Experience with Python, R, and SQL.

Preferred qualifications:

• Experience with advanced experimental designs including a/b testing (e.g. maental hanztel, Wilcoxon, etc.), incrementality measurement (e.g. causal impact ARIMA and Bayesian models) and sampling techniques (e.g. stratified).
• Experience building standard predictive models (e.g. linear/logistic regression and clustering).
• Experience measuring digital advertising campaigns using data from programmatic buying and online platforms.
• Basic knowledge of testing design and random sampling techniques.
• Familiarity with CRM systems (e.g. Salesforce, Oracle, etc.), BI tools and data warehouses.
• Strong communication skills, with ability to present complex concepts in a clear and succinct manner to agency clients.

About the job

Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

Our Large Customer Sales teams partner closely with many of the world's biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird's eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.

Responsibilities

• Support the growth of agency business by developing data-driven recommendations to establish that ads privacy and performance are not at odds with each other.
• Develop experimental design and insights to establish the incremental value of privacy-first marketing tactics. Develop experiment framework and analysis to establish that the future of measurement is consented, cookieless, and modeled.
• Develop custom recommendations that consolidate multiple client data workflows to reflect a unified view of the customer.
• Partner with agency business leads, data scientists, and measurement leads to develop and test tools, templates and frameworks to streamline and scale recommendations.
• Collaborate with cross-functional teams to educate and train agencies on how to best architect and optimize performance marketing strategies within the Google Workspace of offerings.