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Google

Analytical Lead, Education and Careers, Large Customer Sales

🌎

Chicago, IL, USA

13h ago
👀 2 views
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Job Description

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.
  • Experience in design experiments.

Preferred qualifications:

  • 1 year of experience with marketing measurement and attribution techniques (e.g., offline measurement, Marketing Mix Modeling, Message Transfer Agent (MTA), attribution) and Google advertising products (e.g., Google Ads, Google Analytics, Google Marketing Platform, etc).
  • 1 year of experience in client-facing role with 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.
  • Excellent written and verbal communication skills with comfort delivering simple and compelling stories to audiences of all levels.

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 will spend your time digging into big, complex data sets. The data will not remain inert in your hands, however, since you will 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.

In this role, you will support the acceleration of one of the world's leading and largest retailers, and Google's business as a result.

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.

The US base salary range for this full-time position is $114,000-$169,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 or partner’s strategy in the areas of business, marketing or product development, and translate data into answers to business questions or insights to facilitate business decision-making.
  • Develop and own problem-solving modeling for key client or partner projects, apply or customize investigative tools (e.g., dashboards) and frameworks to identify opportunities, and develop solutions to optimize client or partner business and maximize the use and effectiveness of Google products.
  • Collaborate with business teams to motivate business growth with clients or 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 or partner stakeholders across functions and levels, and own the relationship with the data or investigative stakeholders on the client’s or partner’s side.

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