Senior Analytical Lead, Home and Personal Care

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.

Preferred qualifications:

• Experience extracting and manipulating data with SQL or with other programming, query, or scripting languages.
  
• Experience with marketing analytics, return on investment/financial modeling, and statistical analysis.
  
• Experience synthesizing analytics into a simple and compelling story for senior executives.
• Experience in a client-facing role influencing across levels.
• Experience with geo-segmented experimentation, marketing mix modeling, A/B testing, incrementality and advanced Google Analytics integrations and Google advertising products (e.g., Google Ads, Google Analytics, Google Marketing Platform, etc.).
• Ability to analyze datasets and prioritize them into insights.

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 an Analytical Lead on the Home and Personal team, you will partner with Account Executives and Account Managers to build and present integrated business and media opportunities based on industry trends and insights from data. You will work with consumer brands to inform and influence their marketing and business strategy as they manage opportunities and challenges related to evolving business models, consumer behavior changes, and increasing competitive pressure.

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 $114,000-$169,000 + 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.

• Analyze internal and external data to identify opportunities, anticipate risks, develop solutions to customer marketing challenges, and measure success.
  
• Develop relationships with internal and external stakeholders and earn their trust to challenge the status quo together by telling stories with data.
  
• Collaborate across teams to innovate, activating full measurement and attribution product capabilities for customers, and develop scalable solutions to industry challenges.
  
• Design and execute digital marketing experiments.
  
• Advise on marketing analytics, including attribution, media mix modeling, lifetime value, customer segmentation, behavior insights, data integration, and measurement.