Platforms Analytical Lead, Large Customer Sales

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis. 6 years of experience with an advanced degree.
• Experience in SQL.

Preferred Qualifications:

• Experience working with Google Cloud, especially BigQuery, or other public cloud data warehouses.
• Experience performing marketing experiments, statistical analyses, and return on investment/financial modeling.
• Experience with advanced experimental designs including a/b testing (e.g., maental hanztel, Wilcoxon, etc.), incrementality measurement (e.g., causal impact, diff-in-diff models) and sampling techniques (e.g. stratified).
• Ability to analyze datasets, identify actionable insights, and communicate findings via presentations or reports.

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, agencies and digital channel partners, using data-driven insights and knowledge of Google Marketing Platform to help clients achieve their business goals. You serve as the Google quantitative expert leading experimentation, measurement and advanced analytics for 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.

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.

The US base salary range for this full-time position is $118,000-$174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or 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 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.