BI Engineer — Partner Experience & Supply Chain Analytics

Prime Video & Amazon MGM Studios; Culver City (CA); On-site; USD 100,000 - 160,000; Full time

Job summary

Prime Video's Partner Experience & Supply Chain team is seeking a Business Intelligence Engineer to become the data expert who transforms how we work with content partners and optimize our supply chain. You’ll turn complex supply chain data into clear insights, build analytics tools and dashboards with product managers, engineers, and operations, and help teams make data-driven decisions.

We encourage experimentation and collaboration across a global team.

Qualifications

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

Responsibilities

• Analyze data to identify and pursue business opportunities.
• Select appropriate data sources for analyses.
• Prototype with Amazon AI tools and deliver production data products.
• Evaluate requirements; choose efficient, scalable tools.
• Build data pipelines and dashboards for product KPIs.
• Present insights and recommendations to stakeholders.

Skills

Redshift

SQL

Python

Tableau

Quicksight

ETL

Data modeling

Data warehousing

NoSQL

Oracle

Education

Bachelor's degree in quantitative field

Tools

Tableau

Quicksight

SQL

Python

AWS (EC2, S3, Redshift)

Job description

Prime Video's Partner Experience & Supply Chain team is seeking a Business Intelligence Engineer to become the data expert who transforms how we work with content partners and optimize our supply chain. You’ll turn complex supply chain data into clear insights, build analytics tools and dashboards with product managers, engineers, and operations, and help teams make data-driven decisions.

We encourage experimentation and collaboration across a global team.