Head of Media Analytics, Discovery Tech - ID-3749

North America Stores Marketing helps customers discover and engage with new, popular and relevant products across categories. We do this by combining technology, science, innovation, marketing and creativity to build new customer-facing features and experiences alongside cutting edge tools for marketers. We are looking for creative, customer-obsessed, curious and highly entrepreneurial Amazonians to join our exciting team.

We are seeking a Head of Media Analytics & Insights responsible for the application of data driven insights into Amazon North America Stores (NAS) media planning, investment, and measurement process. As a leader in the team, you will be responsible as well to partner with stakeholder teams in the design and implementation of media attribution models across North America Stores.

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Key job responsibilities

• Partner with our Customer Analytics team to design and lead the implementation of modern measurement plans and longer terms roadmaps
• Develop and execute a NAS-wide measurement framework and KPIs that will be used to evaluate experiences and specific plans, campaigns, or investments across paid, owned, and earned media environments
• Write documents and develop reporting providing clear analytics story - why the work is important, the truths that the analytics reveal, and the actions that should follow the analyses
• Build strong relationships with internal stakeholders and groups, facilitating synergy between the central analytics teams and the marketing planning and activation functions
  
  

Basic Qualifications

• Experience using data and metrics to drive improvements
• Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)
• Experience building, executing and scaling cross-functional marketing programs
• Experience leading go-to-market for consumer software or hardware product launches
• 6+ years of professional non-internship marketing, finance or business anyltics experience
  
  

Preferred Qualifications

• Experience using any of SQL or other analytical tools for conducting data analysis
• Experience with customer segmentation, profiling, and targeting
  
  

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.