Business Intelligence Engineer, Prime Video Partner & Supply Chain

About the Role

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

Join Prime Video's Partner Experience & Supply Chain team as a Business Intelligence Engineer and become the data expert who transforms how we work with our content partners and optimize our supply chain.

You’ll be the go-to person for turning complex supply chain data into clear insights that drive real decisions. Working alongside product managers, engineers, and operations teams, you’ll build the analytics tools and dashboards that help everyone understand what's working, what's not, and where we should focus next.

Our supply chain generates massive amounts of data, but data alone doesn't drive change - insights do. You'll tackle questions like:
Where are the bottlenecks slowing down content delivery? Which partner workflows need improvement? How can we predict and prevent supply chain issues before they impact customers?

You’ll create the visibility tools that turn these questions into actionable answers, helping teams spot trends early and make confident, data-backed decisions.

You won't just be running reports - you'll be a strategic partner shaping how Prime Video manages relationships with content partners and optimizes the entire supply chain. Your work will directly influence how quickly and efficiently we bring content to millions of viewers worldwide.

You'll have the autonomy to identify opportunities, propose solutions, and build the tools that matter most. If you love diving deep into data, translating complexity into clarity, and seeing your insights drive tangible improvements, this role offers that impact.

• Analyze data to identify and execute on business opportunities
• Understand data resources and select appropriate sources for each analysis
• Build fast prototypes using Amazon AI tools (Kiro, Claude CLI, Quick Suite) and translate them into production-grade data products
• Evaluate requirements and select optimal tools, balancing speed, efficiency, and scalability
• Build data pipelines and dashboards from multi-dimensional datasets to report product metrics and KPIs
• Present insights and recommendations to stakeholders verbally and in writing

• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
• 4+ years of analyzing and interpreting data with Redshift, Oracle, No
  
  SQL etc. 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 from a database or data warehouse and scripting experience (Python) to process data for modeling
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

• Experience with AWS solutions such as EC2, Dynamo
  
  DB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• Proven ability to determine when and how to integrate GenAI tools, evaluate and refine GenAI outputs, and apply responsible AI practices to augment productivity and quality

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more at  .

Location:

USA, WA, SEATTLE - 99,500. USD annually