Analytical Lead, Planning and Measurement, Large Customer Sales

You will act as a trusted advisor and expert, collaborating closely with internal teams and external clients to build and implement effective measurement strategies. You will leverage advanced Google data and technology to provide actionable insights that improve advertising performance and drive business results. As part of the Large Customer Sales (LCS) team, you will work with top global brands and companies, helping them navigate the evolving advertising landscape and achieve their growth objectives through a comprehensive suite of Google solutions across Search, YouTube, and Measurement platforms.

This role is a critical part of the Planning and Measurement team, dedicated to helping clients understand the value and impact of their campaigns. We are seeking a passionate and experienced leader to join our team and elevate measurement practices for clients in the E-commerce, Gaming, and Travel sectors. You will have the opportunity to work at the forefront of technology, influencing market strategies and making a tangible impact on major businesses worldwide.

• Build strong relationships with key client stakeholders to understand their business goals and measurement needs.
• Collaborate closely with Google Sales, Product, and Engineering teams to ensure alignment and drive product improvements.
• Develop comprehensive measurement frameworks and roadmaps that incorporate various Google measurement solutions.
• Conduct in-depth analysis of campaign performance data using statistical techniques and causal inference to derive actionable insights.
• Design and execute A/B tests and multivariate experiments to optimize campaign performance and validate the value of different media channels and strategies.

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in media analytics, advertising sales, digital marketing and communications, consulting, or financial analysis in a client-facing role.
• Experience with statistical analysis, data visualization, and proficiency in SQL, R, or Python.
• Experience reporting deep analysis to senior stakeholders and driving decision-making processes.
• Deep understanding of digital advertising metrics, methodologies, and technologies, including attribution modeling, geo-experiments, lift measurement, and online-to-offline measurement.