Business Intelligence Engineer, Prime Video Partner Experience & Supply Chain

Description Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports

• including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+.

All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. 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. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! What You'll Do 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. The Problems You'll Solve 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. What Makes This Role Different 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. Key job responsibilities

• 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, QuickSuite) 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 About the team We are part of the central Product and Data Team within the Partner Experience & Supply Chain organization at Prime Video.

Our structure and scope is a hybrid model where we collaborate closely with our tech teams to build data products that solve problems affecting PV customers and our internal stakeholders. We optimize the supply chain and deliver the highest standard of video streaming content to our customers. Our team is the trusted analytical powerhouse that drives unified data solutions, making Prime Video the preferred entertainment destination for customers worldwide. Basic Qualifications

• 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, NoSQL 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 Preferred Qualifications
• Experience with AWS solutions such as EC2, DynamoDB, 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 about our benefits at https://amazon.jobs/en/benefits .

USA, WA, SEATTLE

• 99,500.00
• 160,000.

00 USD annually