Business Intelligence Engineer, Amazon Prime Video Product Analytics

Prime Video is changing the way customers watch movies TV shows live events and channelsoffering unparalleled choice and convenience across devices such as Fire TV mobile phones game consoles and connected TVs. We deliver world-class viewing experiences to customers in over 240 countries and territories.

The Prime Video Product Analytics (PVPA) team is a centralized analytics organization supporting the Prime Video Product organization. We bring together Business Intelligence Engineers Data Engineers and Data Scientists to deliver comprehensive data tools and insights that drive product decisions and enhance customer experience. Our work spans the full analytics lifecyclefrom data infrastructure and pipeline development to advanced analytics customer insights modeling AI-driven solutions and self-service reporting.

This role sits within the PVPA team focused on out-of-app engagement and full-funnel customer journey analytics. Our mission is to understand and optimize how customers discover engage with and return to Prime Videoconnecting off-app marketing touchpoints (such as email push WhatsApp search engines and paid media) with in-app behavior and engagement to build a complete end-to-end view of the customer experience. We harness data across this full funnelfrom acquisition and onboarding through long-term retentionto inform personalization measure customer engagement and channel effectiveness and deliver the right content to the right customer at the right time.

Key job responsibilities
We are looking for a highly motivated and experienced Business Intelligence Engineer (BIE) II to join the PVPA this role you will play a key part in driving customer understanding through data.

You will design and build scalable analytics solutions self-service reporting tools and experimentation frameworks increasingly powered by AI and automation that give stakeholders across product marketing and science a deep reliable understanding of customer behavior. Your work will directly inform how Prime Video acquires engages and retains customers by connecting out-of-app signals to in-app outcomes and enabling faster more confident decision-making across the organization.

In this role you will:
* Design and maintain scalable data models pipelines and reporting tools that enable accurate and timely marketing performance measurement across multiple customer engagement channels (e.g. email push X-site WhatsApp paid media).
* Lead the design execution and analysis of A/B tests to evaluate marketing strategies targeting logic and content variationsensuring statistical rigor and actionable insights.
* Deliver deep customer insights by analyzing behavioral data and engagement patterns helping stakeholder and partner teams better understand customer needs preferences and responses to messaging.
* Develop dashboards and self-service tools to enable marketers product managers and other stakeholders to explore data monitor performance and make informed decisions.
* Collaborate closely with cross-functional teamsincluding Data Scientists Engineers Product Managers and Marketing Managersto define metrics surface insights and influence strategy through data.
* Communicate findings clearly to both technical and non-technical stakeholders using data storytelling to highlight opportunities surface risks and drive alignment on next steps.
* Champion data accuracy consistency and experimentation best practices to raise the overall bar for measurement and insight generation in Prime Video marketing.

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 1 years of SQL ETL or Oracle experience
- 1 years of processing large multi-dimensional datasets from multiple sources experience
- 1 years of performing statistical analysis experience
- 1 years of developing automated reporting experience
- 3 years of in the job offered or a related occupation experience
- 1 years of using SQL ETL (Extract Transform Load) or Oracle experience
- Bachelors degree or foreign equivalent in Computer Science Engineering Mathematics Statistics Economics or a related field
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- 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

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.

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 WA SEATTLE - 99500.00 - 160000.00 USD annually