Analytical Lead, Performance Advertising and Lead Generation

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in media analytics, digital advertising sales or digital media, or consulting, or 3 years with an advanced degree.
• Experience with measurement capabilities, including Marketing Mix Modeling (MMM), incrementality, store visits, and store sales.
• Experience working with advertisers, agencies, or clients.

Preferred qualifications:

• Knowledge of SQL, databases, and basic automation techniques (e.g., dashboards, automating custom reports, materializing tables).
• Knowledge of Google Search and Google Analytics 4 (GA4), inclusive of product capabilities and systems.
• Ability to analyze large datasets and distill them into actionable insights that are presented in a logical and compelling story.
• Excellent written and verbal communication skills, with the ability to deliver simple and compelling stories to audiences of all levels.
• Excellent project management skills across multiple stakeholders.

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.

In this role, you will support the performance and lead generation advertisers. You will drive measurement durability and unlock evidence based, transformative growth for our clients and Google.

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.

The US base salary range for this full-time position is $101,000-$147,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Provide support and consult on client's strategy in the areas of sales, marketing or product development, and translate data into answers to business questions or insights to facilitate business decision-making.
• Develop and own investigative modeling for key projects, apply investigative tools and frameworks to identify opportunities, and develop solutions to optimize business and maximize the use and effectiveness of Google products.
• Collaborate with sales teams to drive business growth with clients, conduct in-depth analysis and identify business opportunities, and support the development of go-to-market business pitch and marketing collateral.
• Build and manage relationships with client/partner stakeholders across functions and levels, and own the relationship with stakeholders on the client's side.
• Test via experimentation and learning agendas, share learnings across sectors, and implement best practices with cross-functional partners.