Platforms Analytical Lead, Large Customer Sales

Google LLC
  • Chicago, IL
    10 days ago

    Job Description

    Platforms Analytical Lead, Large Customer Sales

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    corporate_fareGoogleplaceNew York, NY, USA; Chicago, IL, USA

    bar_chartMid

    Mid

    Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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    XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Chicago, IL, USA.

    Minimum qualifications:

    • Bachelors degree in a quantitative field (e.g., Economics, Statistics, Physics), or equivalent practical experience.

    • 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.

    • Experience in SQL.

    Preferred qualifications:

    • Experience with modern statistical modeling including Media Mix Modeling, advanced experimental design (multivariate testing, Mantel-Haenszel, and Wilcoxon), and sampling techniques (such as stratified sampling).
    • Experience building and activating predictive models and machine learning algorithms (such as random forest, XGBoost, or neural networks) using Python or R to solve complex marketing problems.
    • Experience designing and activating customized programmatic bidding scripts and algorithms (such as Display and Video 360 Custom Bidding).
    • Experience using developer-facing generative AI tools.
    • Familiarity with privacy-safe clean rooms (such as Ads Data Hub), data warehousing (such as BigQuery), and cloud-based data storage solutions.

    About the job

    Businesses of all shapes and sizes rely on Google's unparalleled advertising solutions to help them grow in todays 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.

    In this role, you will explore and uncover opportunities for better marketing results. You possess strong expertise in marketing science and the digital media ecosystem.

    You help clients identify the requisite data and strategic insights to achieve their business goals with Google Marketing Platform tech adoption and media buying. You will help drive high-impact customer engagements in collaboration with Google's ad sales teams, Product and Engineering to identify best practices, drive activation, solve challenges, develop case studies, and provide critical feedback to improve solutions.

    You serve as the Google quantitative expert leading experimentation, measurement and advanced analytics for Google Marketing Platform, and are a key partner to Googles ad sales teams, who work to bring the best of Googles advertising solutions to their customers.

    Googles Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the worlds 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 Googles full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, youll 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.

    Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

    US: $124000 - $180000 (USD) + 60% bonus target + equity + benefits

    Learn more about benefits at Google.

    Responsibilities

    • Support the growth of Google Marketing Platform through analysis of customers data and platform utilization.

    • Leverage advanced analytical approaches and measurement methods to produce business-focused insights and help customers understand the value of Google tech and advertising investments

    • Test via experimentation and learning agendas, share learnings across sectors, and implement best practices with cross-functional partners

    • Develop forward thinking, data-driven recommendations that align with client business objectives.

    • Partner with Programmatic Sales, Google Marketing Platform ad tech Sales, Data Measurement and Analytics teams, Product Managers, and Sales Operations to develop scalable use cases and frameworks to prove the value of advanced usage and feature adoption.

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

    Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

    Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

    Numbers & Facts

    LocationChicago, IL

    Skills

    • A/B Testingunmatched
    • Advertisingunmatched
    • Advertising Salesunmatched
    • Algorithmsunmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Biddingunmatched
    • Cleanroomunmatched
    • Cloud Computingunmatched
    • Consultingunmatched
    • Cross-Functionalunmatched
    • Customer Relationsunmatched
    • Customer Support/Serviceunmatched
    • Customer/Client Researchunmatched
    • Data Analysisunmatched
    • Data Storageunmatched
    • Data Warehousingunmatched
    • Digital Mediaunmatched
    • Economicsunmatched
    • Ecosystemsunmatched
    • English Languageunmatched
    • Equal Employment Opportunity (EEO)unmatched
    • Experiment Designunmatched
    • Financial Analysisunmatched
    • Geneticsunmatched
    • Housekeeping/Cleaningunmatched
    • Machine Learningunmatched
    • Marketingunmatched
    • Marketing Strategyunmatched
    • Media Buying and Planningunmatched
    • Neural Networksunmatched
    • Online Mediaunmatched
    • Partner Salesunmatched
    • Physicsunmatched
    • Predictive Modelingunmatched
    • Problem Solving Skillsunmatched
    • Product Engineeringunmatched
    • Python Programming/Scripting Languageunmatched
    • R Programming Languageunmatched
    • Recruiting/Staffing Agencyunmatched
    • Regulatory Requirementsunmatched
    • SQL (Structured Query Language)unmatched
    • Salesunmatched
    • Sales Operationsunmatched
    • Scalable System Developmentunmatched
    • Scripting (Scripting Languages)unmatched
    • Statistical Modelingunmatched
    • Statisticsunmatched
    • Stock Purchase Plansunmatched
    • Technical Marketingunmatched
    • Technical Salesunmatched
    • Technology Salesunmatched
    • Use Casesunmatched
    • YouTubeunmatched

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