Google

Google

Senior Analytical Lead, Aps, Large Customer Sales

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🌍San Francisco, CA, USA, Mountain View, CA, USA, New York, NY, USA
8h ago
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Job Description

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 working closely with clients, advising on marketing/business performance, and influencing decisions together with insights and measurement.
  • Experience with online advertising (Apps, Search, Display, Video/TV), website analytics (e.g., Google Analytics), or brand analysis techniques.
  • Experience performing marketing experiments, return on investment/financial modeling, and statistical analyses.
  • Familiarity with brand and performance marketing and measurement solutions (e.g., MMM, Experiments, MTA, incrementality, etc.).
  • Ability to analyze datasets, identify actionable insights, and communicate findings via presentations or dashboards.
  • Excellent written and verbal communication skills with the ability to deliver simple and compelling stories to audiences of all levels.
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.

The Analytical Leads in the Apps vertical are trusted advisors in leveraging measurement and analytics expertise. Our core mission is to drive evidence-based, transformative growth for both clients and Google. We prioritize high-impact paths, centering on actionable business outcomes for our partners. Collaborating with sales teams, we prove value and identify challenges to evolve client investment. We are passionate about empowering our Apps partners with the tools and knowledge to evolve their data, tech, and measurement maturity. Our work helps clients identify challenges and grow their investment with Google.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.
  • Test via experimentation and learning agendas, share learnings across sectors, and implement best practices with cross-functional partners.
  • Define a cross-media measurement standard that supports an accurate and fair measurement of performance for a customer's business.
  • Leverage measurement methods and analysis to produce business-focused insights and help customers understand the value of media.
  • Define and refine values for measuring outcomes that matter and partner with Data Transformation Leads (DTLs) to activate them in media via durable data signals and proxies.
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