Company: Google
Job description: Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in digital advertising sales, product marketing, or product management.
- Experience working with third-party technology/measurement vendors, and shaping Google’s product strategy with them.
- Experience analyzing data sets and translating analysis into insights and business recommendations.
Preferred qualifications:
- 3 years of experience related to Marketing Mix Modeling.
- 8 years of experience in ads research, measurement, or analytics.
- Experience consulting with stakeholders to synthesize insights and recommendations.
- Experience managing projects by setting/achieving milestones, synthesizing input from many stakeholders, creating output appropriate to the audiences and driving awareness/adoption of final deliverables.
- Experience using SQL, R or similar tools for forecast.
About the job
Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google’s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.
Our vision is to improve the way digital and Google advertising is measured, and to help advertisers and agencies evolve their considerations for digital advertising within their planning leveraging a diverse and evolving set of measurement solutions. In this role, you will partner with our Google product teams, third-party measurement partners, and agencies to bring the latest solutions and insights to our advertisers measurement plans.
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
- Develop Canada Marketing Mix Modeling strategy, scaling resources, tools, and processes for consultation. Work closely with leadership to drive commercialization and influence key stakeholders.
- Develop and scale white-glove Marketing Mix Modeling consultation model with clients, agencies, and measurement vendors to identify and action optimization.
- Influence adoption of Google Marketing Mix Modeling offerings and influence internal product teams to enhance Marketing Mix Modeling offerings and market feedback.
- Understand Marketing Mix Modeling from how advertisers use them to make decisions to how Marketing Mix Modeling vendors optimally leverage data inputs for modeling. Educate product teams and key stakeholders.
- Ensure that Marketing Mix Modeling effectively demonstrate the value of Google products in driving business. Lead beta tests, coordinate business, and product experts.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a disability or special need that requires accommodation, please let us know by completing our .
Expected salary:
Location: Toronto, ON
Job date: Thu, 07 Apr 2022 07:31:53 GMT
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