info_outline X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Chicago, IL, USA. Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 11 years of experience in consulting, corporate strategy, technology sales, data analytics, performance marketing, business analysis, product strategy, or a related technical field. • Experience with SQL. Preferred qualifications: • Experience performing marketing experiments, statistical analyses, and return on investment/financial modeling. • Experience working with Google Cloud, BigQuery, or other public cloud data warehouses. • Experience with Generative AI tools and applications for automating workflows and data analysis tasks (e.g., NotebookLM, Gemini for Google Workspace). • Experience with advanced experimental designs including a/b testing (e.g., maental hanztel, etc.), incrementality measurement (e.g., causal impact, diff-in-diff models) and sampling techniques (e.g. stratified). • Experience working with Google Marketing Platform, Display and Video 360 and Campaign Manager 360. • Proficiency in data languages including SQL, Python, and R to drive advanced measurement and experimentation. About the job Businesses 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. As a Platforms Analytical Lead, you are a trusted advisor to large customers and agencies, using data-driven insights and knowledge of Google Marketing Platform to help clients achieve their business goals. You serve as the Google quantitative expert for advanced analytics, experimentation, and measurement within Google Marketing Platform, and are a key partner to Google's ad sales teams, who work to bring the best of Google's advertising solutions to their customers. In this role, you will uncover opportunities for better marketing results. You'll work directly with clients and develop client relationships with key decision makers, including executive leaders in marketing strategy and analytics teams. Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $142000 - $207000 (USD) 75% bonus target equity benefits Learn more about benefits at Google . Responsibilities • Support the growth of Google Marketing Platform through analysis of customer's data and platform utilization. • Leverage advanced analytical approaches and measurement methods to produce business-focused insights and help customers understand the value of Google tech and advertising investments. • Test via experimentation and learning agendas, share learnings across business sectors, and implement best practices with cross-functional partners. • Develop forward thinking, data-driven recommendations that align with client business objectives. • Partner with Programmatic Sales, Google Marketing Platform Ad Tech Sales, Data Measurement and Analytics teams, Product Managers, and Sales Operations to develop scalable use cases and frameworks to prove the value of advanced usage and feature adoption.