About The Position

Amazon is seeking a Business Intelligence Engineer to uncover drivers of marketing and visualize insights on customer behavior for Prime Video content. This role is within a high-growth, industry-leading business that is a critical driver of Amazon Prime subscriptions. The Prime Video Marketing Analytics (PVMA) team uses machine learning, econometrics, and data science to optimize Amazon's marketing. The team generates insights into customer acquisition and engagement strategy, providing support to finance, marketing, and content teams.

Requirements

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)
  • Bachelor's degree in engineering, finance, supply chain, logistics, computer science or equivalent

Nice To Haves

  • Master's degree, or Advanced technical degree
  • Knowledge of data modeling and data pipeline design
  • Experience with statistical analysis, co-relation analysis

Responsibilities

  • Interacting with stakeholders (technical and non-technical) to understand primary use cases and questions
  • Building data queries for ad hoc uses, dashboards, and data science work
  • Working with economists and data scientists to provide service-level and metric-level insights for the impact of marketing on Prime Video viewership.
  • Creating and maintaining dashboards sharing marketing measurement data and insights
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