Senior Analytical Lead, Food, Beverage and Restaurants

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in media analytics, advertising business, digital media and marketing, consulting, or financial analysis.

Preferred qualifications:

• Experience in performing marketing experiments, return on investment/financial modeling, and statistical analysis.
• Experience in working with clients, advising on marketing/business performance, and influencing selections together with insights and measurement.
• Experience with online advertising (e.g., Search, Display, Video/TV), website analytics (e.g., Google Analytics), or brand analysis techniques.
• Experience with brand and performance marketing and measurement solutions (e.g., Marketing Mix Modeling (MMM), Experiments, Message Transfer Agent (MTA), incrementality, etc.).
• Ability to analyze datasets, identify insights, and communicate findings by presentations or dashboards.
• Excellent communication skills, with the ability to deliver simple and compelling stories.

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 Food, Beverage, and Restaurant clients and will use data and insights to solve problems that transform their businesses and help achieve their objectives. You will grow and guide relationships with client marketing, strategy, and investigative stakeholders. You will help clients modernize their marketing measurement by adopting best practices, and use user behavior insights, customer segmentation, and Google internal data to devise marketing strategies.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 $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

• Consult with clients as an industry advocate and analyst on opportunities associated with industry standards, trends, potential business impact, and methodologies for marketing and media analytics, measurement, and data integration.
• Seek out decision makers and earn their trust to test the status together by telling stories with data.
• Grow client relationships with others in the client organization and their vendors including marketing, advertising, and problem solving.
• Partner with internal and external product, research, data and measurement teams to bring problem solving capabilities to clients.
• Analyze internal and external data and use predictive and statistical modeling techniques to uncover opportunities, develop solutions to client marketing tests, and measure success of advertising campaigns.