Role at a glance
- Job function
-
AI & Data Data Analytics Data Engineering
- Salary
- Not Disclosed
- Location
- Seattle, Washington, United States Culver City, California, United States
- Work arrangement
- On-site
- Experience
- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Education
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
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Role Summary
The Business Intelligence Engineer on Prime Video's Partner Experience & Supply Chain team analyzes supply chain and content partner data to support decisions and improve operations. The role builds data products and visibility tools, including pipelines and dashboards, and shares insights with stakeholders.
What You'll Do
- Analyze data to identify and execute on business opportunities.
- Identify appropriate data sources for analysis.
- Prototype with Amazon AI tools and translate prototypes into production-grade data products.
- Evaluate requirements and select tools that balance speed, efficiency, and scalability.
- Build data pipelines and dashboards from multidimensional datasets to report product metrics and KPIs.
- Present insights and recommendations to stakeholders verbally and in writing.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance, or an equivalent quantitative field; 4+ years analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar; experience with data visualization tools such as Tableau or QuickSight; data modeling, warehousing, and ETL pipelines; SQL for database or data warehouse queries and Python scripting to process data for modeling; and developing and presenting recommendations for new business performance metrics.
Preferred
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
- Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets.
- Ability to determine when and how to integrate GenAI tools, evaluate and refine their outputs, and apply responsible AI practices to...
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Culver City - 99,500.00 - 160,000.00 USD annually
USA, WA, SEATTLE - 99,500.00 - 160,000.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.