Pay
$94.4K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Senior Business Intelligence Engineer, Prime Video Partner Experience & Supply Chain
Seattle, Washington, USA
Actively hiring, first seen by us 1 day ago- Pay
Multiple pay amounts — pay source
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 - 130,400.00 - 176,300.00 USD annually USA, WA, SEATTLE - 130,400.00 - 176,300.00 USD annually
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: full-time
From the employer’s posting
Before you apply
- Employer’s visa record
- 31,079 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingLead design and delivery of BI solutions for complex, ambiguous supply chain problems
Own data lineage from data generation through metric aggregation to business use
Lead large multi-person BI projects, splitting work into parallel workstreams
Set BI engineering best practices and standards such as code reviews and metric definitions
Build scalable data pipelines, data models, and dashboards that others can maintain
From the employer’s posting
Lead the design, implementation, and delivery of BI solutions in complex and/or ambiguous problem areas
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
Drive BI engineering best practices and set standards for the org (operational excellence, code reviews, syntax and naming conventions, metric definitions, alarms)
Build inventive, robust, scalable, and extensible data pipelines, data models, and dashboards from multi-dimensional datasets that others can easily maintain and build upon
What you’ll bring
All qualificationsCore experience
- Senior-level BI engineering experience leading large analytics initiatives
- Ability to work with limited guidance in ambiguous problem spaces
Qualification wording
Lead large, multi-person BI projects
You'll operate in complex and often ambiguous problem spaces, working with limited guidance
Education & alternatives
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 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) Preferred qualifications - 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
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 13, 20261 day ago
- Recorded sightings
- 3
- Last seen by us
- Nov 15, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 5 and day 43.
From 14,728 similar postings that came down. Coming down is not always a hire.
Amazon is hiring
550 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Redshift
- S3
Where the posting names them
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 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) Preferred qualifications - 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
Your next step
Complete your application on www.amazon.jobs. The employer’s form will show what is required.
Already applied? Track this application
About Amazon
- People
- About 1,207,759 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as AMZN.
- H-1B visas
- 6,217 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
- Layoff notices
- Notices this year and last cover 2,978 people. The latest was filed November 2, 2026.State WARN notices
Demand for Analyst roles
New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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.
- 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 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 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.
USA, CA, Culver City - 130,400.00 - 176,300.00 USD annually
USA, WA, SEATTLE - 130,400.00 - 176,300.00 USD annually
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.
Basic qualifications
- 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)
Preferred qualifications
- 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 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 - 130,400.00 - 176,300.00 USD annually
USA, WA, SEATTLE - 130,400.00 - 176,300.00 USD annually
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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 - 130,400.00 - 176,300.00 USD annually USA, WA, SEATTLE - 130,400.00 - 176,300.00 USD annually
- Location & working pattern
Seattle, Washington, USA
This passage needs a closer read in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.