Prime Video offers customers a vast collection of movies series and sportsall available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100 channels including Max discovery Paramount with SHOWTIME BET MGM ViX PBS KIDS NBA League Pass and STARZ with no extra apps to download and no cable required. Prime Video is just one of the savings convenience and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazons enormous selection exceptional value and fast delivery.
Prime Video is a premier entertainment hub offering a vast collection of movies series documentaries and live sports in one app accessible across thousands of devices. Enjoy Amazon MGM Studios originals like Fallout and Reacher plus live sports including Thursday Night Football and the WNBA. Prime members get exclusive access and can share benefits via Amazon Household. Anyone can rent or buy titles including blockbusters like Challengers or stream free content with ads such as Jury Duty. Explore behind-the-scenes with X-Ray.
As a Senior Business Intelligence Engineer (BIE) youll be at the forefront of transforming our video supply chain through data-driven innovation. This unique role bridges the gap between technical expertise and business strategy making you instrumental in shaping how millions of customers experience our content delivery.
Youll architect and own sophisticated streaming analytics solutions leveraging your deep understanding of data infrastructure to solve complex supply chain challenges. Unlike traditional BI roles youll go beyond reporting to become a strategic advisor using your expertise in streaming services and analytics tools to guide critical business decisions that directly impact content quality and delivery.
What makes this position special is its blend of technical leadership and business influence. Youll not only build and maintain reporting solutions but also serve as a trusted voice in steering the Video Supply Chain organizations future direction. Your insights and recommendations will help determine how we evolve our content delivery systems to meet ever-growing customer expectations.
If you thrive on translating complex data into actionable business strategies and want to directly influence how customers experience streaming content this role offers that rare opportunity to drive meaningful change at scale.
Key job responsibilities
Heres what youll do in this role:
Turn complex business challenges into practical data solutions that actually work
Build and maintain smart data systems that help teams make better decisions
Get deep into our data using SQL ETL and Redshift to find insights that help us serve customers better
Team up with data engineers to create reliable data pipelines and architecture
Work closely with scientists to test your insights and turn them into real improvements
Help shape our data strategy and research plans
Guide and mentor other analysts on the team
What makes you a great fit:
Youre comfortable with data infrastructure especially streaming services
You know your way around business analytics tools
You can bridge the gap between technical details and business impact
Location: Based in Seattle working with teams across US Europe India and Japan
This role is perfect for someone who loves solving problems with data and wants to make a real impact on how we serve customers globally.
A day in the life
A Sr. BIE will be expected to own analyses and reporting solutions for the team. You will be a leader for the Video Supply Chain organization on what direction the business ought to move towards in order to best provide our customers with high-quality content.
About the team
We are a core business intelligence and analytics team within the Video supply chain. Our structure and scope however is a hybrid model and we collaborate closely with Data Engineering and Data Science to build technical solutions to problems that affect our business partners. We seek to optimize the supply chain and help provide the highest standard of Video streaming content to our customers.
- 10 years of professional or military experience
- 5 years of SQL experience
- Experience programming to extract transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval data science machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing analyzing and communicating results to senior leadership
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
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117300/year in our lowest geographic market up to $202800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.