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 an Analytical Lead, you will leverage data-driven insights to drive transformative impact for some of the world's largest companies. You will employ a blend of marketing analytics modeling, financial modeling, and deep business insights to identify quantifiable strategies to drive sales. As an analytical lead, you will be a key strategic partner who is driven to see solutions come to life and will be a powerful catalyst for client transformation.

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 $88,000-$125,000 + 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

• Analyze internal and external data to quantify opportunities, anticipate risks, develop solutions to customer marketing challenges, and measure success.

• Help customers navigate the shift to an AI first era of Marketing leveraging Google AI and ML solutions articulating and quantifying the value and impact of investments in this area.

• Develop relationships with analytics counterparts and earn their trust, and tell stories with data, both visually and verbally.

• Collaborate across teams innovating, to activate full measurement and attribution product capabilities for customers, and develop scalable solutions to industry challenges.

• Advise on marketing analytics, including attribution, lifetime value, customer segmentation, and behavioral insights. Lead the full lifecycle of analytics and measurement initiatives, from idea to implementation.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 2 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.

• Ability to travel for client meetings and training, as needed.

Preferred qualifications

• MBA or advanced professional degree.

• Experience in consulting, analytics, or financial modeling.

• Experience with Marketing Analytics, 3P Analytics Platforms, web analytics (Adobe/GA4). Experience with data analytics, return on investment/financial modeling, or statistical analysis.

• Experience in a client-facing role, with the ability to navigate complex customer organizations influence across levels from day-to-day to c-suite.

• Experience operating independently, demonstrating creativity, being detail-oriented, and delivering results in a highly organized manner.

• Excellent written and verbal communication skills with comfort distilling complex data analysis and insights into digestible narratives.