Analytical Lead, Gaming, Large Customer Sales

9 Hours ago • 8 Years + • Data Analyst

Job Summary

Job Description

This Analytical Lead role at Google focuses on providing data-driven insights to gaming and app developers. Responsibilities include consulting clients, identifying growth opportunities, developing engagement plans, collaborating on tools to accelerate growth, conducting data analysis, and presenting findings to both clients and internal stakeholders. The ideal candidate possesses strong analytical skills, experience in marketing measurement and attribution, fluency in English and Mandarin, and experience working with large datasets. The role requires building and maintaining client relationships, including C-level executives, and involves working with Google's advertising products and mobile gaming industry knowledge.
Must have:
  • 8+ years experience in analytics, advertising or related fields
  • Fluent in English and Mandarin
  • Strong analytical and problem-solving skills
  • Experience with data analysis and presentation
  • Client relationship management
  • Project management and stakeholder collaboration
Good to have:
  • Experience with marketing measurement and attribution
  • Knowledge of Google advertising products
  • Experience with SQL and databases
  • Knowledge of the mobile gaming industry
  • Experience with project management tools

Job Details


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in media analytics, advertising business, digital media and marketing, consulting, or financial analysis.
  • Ability to communicate in English and Mandarin fluently to interact with and serve local clients.

Preferred qualifications:

  • 1 year of experience with marketing measurement and attribution techniques (e.g., offline measurement, Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), attribution), and knowledge of Google advertising products (e.g., Google Ads, Google Analytics, Google Marketing Platform).
  • Experience with project management and working with multiple stakeholders.
  • Experience in SQL, databases and basic automation techniques.
  • Knowledge of the Apps and mobile gaming industries, including the mobile developer ecosystem.
  • Excellent problem-solving and critical thinking skills.

About the job

Being an Analyst at Google is about much more than simply crunching numbers – it’s about finding compelling insights within data and using your exceptional business and communication skills to translate those insights into action. As one of the masterminds behind our strategic planning, forecasting and analysis, you’ll spend your time digging into big, complex data sets. The data will not remain inert in your hands, however, since you’ll use your critical thinking, problem solving and communication skills to influence and drive thoughtful and well-informed decision making with our most senior business leaders within the organization, and potentially some of our biggest clients.

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.

Responsibilities

  • Provide consultations to our gaming and app developers, identifying insights from data to discover new growth motivators and address business tests.
  • Lead the development of Gaming and App vertical narratives, aligning with industry leaders on priorities and overseeing the execution of quarterly engagement plans.
  • Collaborate with team members to develop frameworks and tools that accelerate vertical growth.
  • Conduct analyses of client data to extract insights and inform recommendations.
  • Build and maintain relationships with client stakeholders at all levels, including C-level executives and data analytics teams. Deliver presentations and narratives to collaborate with clients and internal stakeholders.

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