Business Intelligence Engineer, Amazon Prime Video Product Analytics

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 lifecycle-from data infrastructure and pipeline development to advanced analytics, customer insights modeling, AI-driven solutions, and self-service reporting., * 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 variations-ensuring 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 teams-including Data Scientists, Engineers, Product Managers, and Marketing Managers-to 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.

We are looking for a highly motivated and experienced Business Intelligence Engineer (BIE) II to join the PVPA team. In this role, you will play a key part in driving customer understanding through data., 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
• Bachelor’s 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

Preferred Qualifications

• 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

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, WA, SEATTLE - 99,500.00 - 160,000.00 USD annually

Prime Video is changing the way customers watch movies, TV shows, live events, and channels-offering 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.