Job 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 Senior Business Intelligence Engineer and become the technical leader who defines how we turn partner and supply chain data into business intelligence at scale. You will be the recognized data authority for the organization, owning the long-term view of our BI architecture and how it fits together across systems, and setting the standard for how insights are produced, trusted, and acted upon. You'll operate in complex and often ambiguous problem spaces, working with limited guidance alongside product managers, engineers, and operations leaders. You will not just build dashboards, you will shape the analytics strategy for the org, decide where to invest, and lead large initiatives that require the coordinated work of multiple data professionals. The Problems You'll Solve Our supply chain generates massive amounts of data, but data alone doesn't drive change, insights do. You'll take on the intrinsically hard, undefined problems: Where are the systemic bottlenecks slowing content delivery, and what is the root cause across the pipeline rather than the symptom? Which partner workflows need to be re-architected? How do we predict and prevent supply chain issues before they impact customers? You will own the data lineage end to end, developing deep understanding of and influence over the technical systems that generate the data, how metrics are aggregated, and how the resulting business intelligence is consumed, interpreted, and acted upon by the business. When problems are pervasive or persistent, you drive them to root cause, and your fixes may unblock related teams across the organization. What Makes This Role Different You'll be a strategic partner and a key influencer in team strategy, shaping how Prime Video manages relationships with content partners and optimizes the entire supply chain. You will anticipate, and where appropriate influence, stakeholders' future requirements rather than react to them. You will show good judgment making trade-offs between team investment (prioritization, data retention policy, infrastructure cost) and business need, and you will only advocate for new BI solutions when they are genuinely necessary. Your work directly influences how quickly and efficiently we bring content to millions of viewers worldwide, and you will ensure the team is stronger because of your presence but does not require your presence to succeed. Key job responsibilities Lead the design, implementation, and delivery of BI solutions in complex and/or ambiguous problem areas, taking the long-term view of how each solution fits the team's architecture and lifecycle, and proactively fixing architecture deficiencies Own and influence data lineage across the organization, from how data is generated through how metrics are aggregated to how business intelligence is consumed and acted upon Lead large, multi-person BI projects: decompose them into parallel workstreams for yourself and other data professionals, and reassemble the work into a cohesive, successful launch Drive BI engineering best practices and set standards for the org (operational excellence, code reviews, syntax and naming conventions, metric definitions, alarms); ensure solutions are accurate, timely, accessible, and actionable Build inventive, robust, scalable, and extensible data pipelines, data models, and dashboards from multi-dimensional datasets that others can easily maintain and build upon Resolve the root cause of pervasive or persistent problems, influencing decisions across teams and building consensus to find and drive the best path forward Understand and articulate the capabilities and limitations of the systems you work with (e.g., cluster size, concurrent users, data classification) to both technical and non-technical audiences, clarifying what is possible today versus what requires technology investment Build fast prototypes using Amazon AI tools (Kiro, Claude CLI, QuickSuite) and translate them into production-grade data products, selecting optimal tools by balancing speed, efficiency, and scalability Present insights and recommendations to senior stakeholders verbally and in writing, and influence their decisions and future requirements 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. - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field - 8+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience - 5+ years of SQL experience - 4+ years of performing statistical analysis experience - 4+ years of developing automated reporting experience - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Prior experience with AWS services across data storage, querying, transformation, and visualization (QuickSight, Redshift, Athena, S3, Glue, Lambda) - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience with theory and practice of design of experiments and statistical analysis of results - Experience programming to extract, transform and clean large (multi-TB) data sets 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 amazon.jobs 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 amazon.jobs . USA, CA, Culver City - 130,400.00 - 176,300.00 USD annually USA, WA, SEATTLE - 130,400.00 - 176,300.00 USD annually

Requirements

Must-haves

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
The Problems You'll Solve
What Makes This Role Different
Key job responsibilities
Own and influence data lineage across the organization, from how data is generated through how metrics are aggregated to how business intelligence is consumed and acted upon
Lead large, multi-person BI projects: decompose them into parallel workstreams for yourself and other data professionals, and reassemble the work into a cohesive, successful launch
Build inventive, robust, scalable, and extensible data pipelines, data models, and dashboards from multi-dimensional datasets that others can easily maintain and build upon
Resolve the root cause of pervasive or persistent problems, influencing decisions across teams and building consensus to find and drive the best path forward
Build fast prototypes using Amazon AI tools (Kiro, Claude CLI, QuickSuite) and translate them into production-grade data products, selecting optimal tools by balancing speed, efficiency, and scalability
Present insights and recommendations to senior stakeholders verbally and in writing, and influence their decisions and future requirements
About the team
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
8+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
5+ years of SQL experience
4+ years of performing statistical analysis experience
4+ years of developing automated reporting experience
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Prior experience with AWS services across data storage, querying, transformation, and visualization (QuickSight, Redshift, Athena, S3, Glue, Lambda)
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
1+ years of processing large, multi-dimensional datasets from multiple sources experience
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Experience with theory and practice of design of experiments and statistical analysis of results
Experience programming to extract, transform and clean large (multi-TB) data sets

Nice-to-haves

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Keywords to mirror

reactaisqlpythonawsmachine learning

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave