Principal Analytical Lead, Home and Consumer Services

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 11 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
  
• 11 years of experience in Experiment Design and Measurement/Attribution.
  

Preferred qualifications:

• 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).
  
• Experience in a client-facing role influencing across levels.
  
• Knowledge of SQL, databases, and basic automation techniques (e.g., dashboards, automating custom reports, materializing tables).
  
• Ability to analyze datasets and distill them into insights that are presented in a logical and compelling story.
  
• Excellent written and verbal communication skills, with the ability to deliver simple and compelling stories to audiences of all levels.

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.

As the Principal Analytical Lead, you will work with companies consulting on measurement solutions, business opportunities, and growth mindset. In this role, you will use data and analytics to transform the businesses of companies around the world.

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 $135,000-$203,000 + 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.

Responsibilities

• Consult client's/partner’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.
  
• Collaborate with sales teams to drive business growth with clients/partners, conduct 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 client’s/partner’s side.
  
• Execute controlled experiments to gain insight into performance of ad investment.