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 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 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.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 $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.

• 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.