Senior Business Intelligence Engineer, Prime Video Partner Experience & Supply Chain
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have sections if content present.
We need to parse the posting.
First, description: intro about Prime Video, then "Are you interested...". Then "What You'll Do" etc. Then "The Problems You'll Solve", "What Makes This Role Different", "Key job responsibilities", "About The Team", "Basic Qualifications", "Preferred Qualifications", then EEO etc, then Los Angeles County specifics, then benefits, then salary ranges, then location, company, job ID.
We need to extract substantive info.
We must not repeat job title as heading. The job title is "Senior Business Intelligence Engineer". Not to be used as heading.
We need sections: About the role (maybe from intro?), Responsibilities (Key job responsibilities), Requirements (maybe Basic Qualifications?), Qualifications (maybe Preferred Qualifications?), Skills (maybe list of skills like SQL, Python, AWS etc), Benefits (benefits description), Pay (salary range), Schedule (maybe not present). Also maybe "About The Team" could be part of About the role? But we have a specific heading "About the role". Could combine description and team info.
We must not include boilerplate like EEO, equal opportunity, scam warning, navigation, cookie, legal, duplicated lines, application instructions. Also remove Los Angeles County specifics? That's location-specific legal stuff; likely boilerplate. Remove.
We need to preserve all substantive information.
Let's extract:
- About the role: The initial paragraphs describing Prime Video, the role as technologist, end-to-end ownership, etc. Also "About The Team" paragraph. Could combine.
- Responsibilities: The list under "Key job responsibilities". Also maybe "What You'll Do" and "The Problems You'll Solve" and "What Makes This Role Different". Those are also responsibilities-ish. We'll combine into responsibilities section.
- Requirements: Basic Qualifications list.
- Qualifications: Preferred Qualifications list.
- Skills: Could extract specific skills: SQL, Python, AWS services (QuickSight, Redshift, Athena, S3, Glue, Lambda), statistical analysis, automated reporting, scripting, data modeling, dashboards, data pipelines, etc. Might be covered in qualifications but we can still make a Skills section summarizing technical skills.
- Benefits: The paragraph about comprehensive benefits: health insurance, 401(k) matching, paid time off, parental leave, link.
- Pay: Salary ranges: USA, CA, Culver City - 130,400 - 176,300 USD annually; USA, WA, SEATTLE - same range.
- Schedule: Not mentioned; omit.
We must not include placeholder like "commensurate with experience". Not present.
We must not repeat job title as heading.
We must not include Job ID.
We must output only HTML fragment.
Let's craft.
Structure:
About the role
... combined description ...
Responsibilities
- ... ...
Requirements
- ... ...
Qualifications
- ... ...
Skills
- ... ...
Benefits
...
Pay
...
We need to ensure we don't create empty sections. Now extract content. About the role: Combine intro paragraphs: "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!" Then also include 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." Combine into one paragraph or two? Usefor prose; can have multiple
under same section? Probably okay. We'll put two
tags. Responsibilities: Need to list from "What You'll Do", "The Problems You'll Solve", "What Makes This Role Different", and "Key job responsibilities". Let's extract bullet points. From "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." From "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." From "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." From "Key job responsibilities": list bullet points: - 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 We can combine all these into a single
- list.
Requirements: Basic Qualifications list:
- 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)
We'll put each as
- . Qualifications: Preferred Qualifications list: - 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 We'll put as
- . Skills: Could list specific technical skills: SQL, Python, AWS (QuickSight, Redshift, Athena, S3, Glue, Lambda), statistical analysis, automated reporting, data modeling, dashboard creation, data pipelines, ETL, scripting, data lineage, BI best practices, prototyping with Amazon AI tools (Kiro, Claude CLI, QuickSuite), presenting insights, stakeholder communication, etc. But we might avoid duplication with qualifications. However we can still create a Skills section summarizing. We'll list: - Advanced SQL (5+ years) - Python scripting for automation - AWS services: QuickSight, Redshift, Athena, S3, Glue, Lambda - Statistical analysis and experimental design - Data modeling and dashboard development - Building scalable data pipelines and ETL processes - Data lineage and BI architecture ownership - Prototyping with Amazon AI tools (Kiro, Claude CLI, QuickSuite) - Communicating insights to technical and non-technical audiences - Driving BI best practices and standards We'll put as
- . Benefits: Paragraph: "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,