Google

Google

Analytical Lead, Large Customer Sales

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๐ŸŒAtlanta, GA, USA
6h ago
๐Ÿ‘€ 0 views
๐Ÿ“ฅ 0 clicks

Job Description

Minimum qualifications:

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

Preferred qualifications:

  • 1 year of experience with marketing measurement and attribution techniques (e.g., offline measurement, MMM, MTA, attribution) and Google advertising products (e.g., Google Ads, Google Analytics, Google Marketing Platform, etc).
  • 1 year of client-facing experience, with a track record of influencing across levels.
  • Knowledge of SQL, databases, and basic automation techniques (e.g., dashboards, automating custom reports, materializing tables).
  • Ability to analyze large datasets and distill them into actionable insights that are presented in a logical and compelling story.
  • Strong written and verbal communication skills with comfort delivering simple and compelling stories.

Businesses of all shapes and sizes rely on Googleโ€™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.

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 $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.

  • Provide support and consulting on client's/partnerโ€™s strategy in the areas of sales, marketing or product development, and translate data into answers to business questions or insights to facilitate business decision-making.
  • Develop and own analytical modeling for key client/partner projects, apply or customize analytical tools (e.g., dashboards) and frameworks to identify opportunities, and develop solutions to optimize client/partner business and maximize the use and effectiveness of Google products.
  • Collaborate with sales teams to drive business growth with clients/partners, conduct in-depth analysis and identify business opportunities, and support the development of go-to-market business pitch and marketing collateral.
  • Build and manage relationships with client/partner stakeholders across functions and levels, and own the relationship with the data/analytical stakeholders on the clientโ€™s/partnerโ€™s side.
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