BI Engineer: Transforming Partner Experience & Supply Chain

Amazon

Seattle (WA)

On-site

USD 100,000 - 160,000

Full time

14 days+
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Job summary

Amazon is seeking a Business Intelligence Engineer for Prime Video Partner Experience & Supply Chain in Seattle. You will transform complex data into clear insights, work with product managers, engineers, and operations to build analytics tools and dashboards, and help optimize content partner workflows and the supply chain.

You will tackle questions about bottlenecks, partner workflows, and proactive issues by delivering data-backed recommendations and production-ready data products with

Qualifications

  • Bachelor's degree in BI, finance, engineering, statistics, CS or equivalent quantitative field.
  • 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL experience.
  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience with data modeling, warehousing and building ETL pipelines.
  • Experience using SQL to pull data and Python for data processing.
  • Experience developing and presenting recommendations of new metrics.

Responsibilities

  • Analyze data to identify and execute on business opportunities.
  • Understand data resources and select appropriate sources for analyses.
  • Build prototypes using Amazon AI tools and translate to production data products.
  • Evaluate requirements and select optimal tools balancing speed, efficiency and scalability.
  • Build data pipelines and dashboards to report product metrics and KPIs.
  • Present insights and recommendations to stakeholders.

Skills

Data analysis
SQL
Python
Data modeling
Metrics development

Education

Bachelor's degree in BI/CS/Engineering

Tools

Tableau
Quicksight
ETL tooling
NoSQL

Job description

Amazon is seeking a Business Intelligence Engineer for Prime Video Partner Experience & Supply Chain in Seattle. You will transform complex data into clear insights, work with product managers, engineers, and operations to build analytics tools and dashboards, and help optimize content partner workflows and the supply chain.

You will tackle questions about bottlenecks, partner workflows, and proactive issues by delivering data-backed recommendations and production-ready data products with

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