Business Intelligence Engineer, Prime Video Content Analytics and Products

3 weeks ago


Culver City, California, United States Amazon Full time
About the Role

As a Business Intelligence Engineer on the Prime Video Content Analytics and Products team, you will collaborate with cross-functional business teams to build high-impact tools that solve business needs. Our engineers create automated and scalable analytical data products that drive the growth and expansion of the business.

Key Responsibilities
  • Own, design, develop, document, and manage scalable solutions for new and ongoing reports, analyses, ETL pipelines, and dashboards to support business needs.
  • Generate actionable insights through the development of new tools, dashboards, reports, and deep dive analyses.
  • Serve as a technical, business-metrics specialist and insight provider to business stakeholders in the organization.
  • Act as a key interface between our internal business customers and technical teams.
  • Leverage extensive data sets to derive strategic insights that shape business decisions on content spend and studio investments.
  • Present insights to senior stakeholders in creative development, strategy, finance, production, and technology.
About the Team

The Prime Video Content Analytics & Products team is dedicated to developing software and business intelligence products that streamline the process of planning, configuring, and tracking content launches at every stage of the title lifecycle.

Requirements
  • Bachelor's degree in statistics, business analytics, data analytics, data science, computer science, or related field.
  • Experience with data querying or modeling with SQL.
  • Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries).
  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience in designing and implementing custom reporting systems using automation tools.
Preferred Qualifications
  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience.
  • Experience with programming languages such as Python, Java, C++.
  • Experience gathering business requirements, using industry-standard business intelligence tools to extract data, formulate metrics, and build reports.
  • Knowledge of data modeling and data pipeline design.


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