Platforms Analytical Lead

• Support the growth of Google marketing platform through analysis of customer's data and platform utilization.
• Leverage investigative approaches and measurement methods to produce business focused insights and help customers understand the value of Google tech and advertising investments.
• Test, experiment and learn 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 business, Google marketing platform ad tech business, data measurement and analytics teams, product managers, and business operations to develop scalable use cases and frameworks to verify the value of advanced usage and feature adoption.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, financial analysis, or data science.
  

Preferred qualifications:

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.

As a Platforms Analytical Lead, you will help activate, measure and quantify the business impact of Google marketing platform, tech adoption and media buying recommendations against client business objectives. You will collaborate internally across cross-functional roles including programmatic account and media platforms executives, data transformation leads, product managers, and engineering teams to identify best practices, drive activation, solve challenges, develop case studies, and provide critical feedback to improve solutions. You will work directly with clients and develop client relationships with key decision makers, including executive leaders in marketing strategy and analytics teams. You will navigate cross-functional teams, influence, motivate and change both internally and externally through collaboration.

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 $103,000-$148,000 + 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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; New York, NY, USA.

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, financial analysis, or data science.