Business Intelligence Engineer, Amazon Prime Video Product Analytics

Socket.dev; Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon's Prime Video Product Analytics team seeks a data-driven analyst to design scalable data models, pipelines, and dashboards for cross-channel marketing measurement. You will work with Data Scientists, Engineers, and Marketing to surface insights that guide campaigns.

You will lead A/B tests, analyze engagement patterns, and communicate findings to both technical and non-technical stakeholders. Strong SQL, ETL, and data warehousing experience are required; AWS tools familiarity is a plus.

Qualifications

• 3+ years analyzing and interpreting data with data platforms (Redshift, Oracle, NoSQL).
• 1+ years SQL, ETL or Oracle experience.
• 1+ years processing large, multi-source datasets.
• 1+ years statistical analysis experience.
• 1+ years developing automated reporting.
• 3+ years in job or related occupation.
• Experience with data visualization tools (Tableau, Quicksight, or similar).
• Data modeling, warehousing and ETL pipeline experience.
• Statistical packages such as R, SAS or Matlab.
• SQL scripting (Python) for data processing.

Responsibilities

• Design and maintain scalable data models, pipelines, and reporting tools for marketing performance measurement across multiple channels.
• Lead design, execution, and analysis of A/B tests with statistical rigor.
• Deliver insights by analyzing behavioral data and engagement patterns.
• Develop dashboards and self-service tools for marketers and product managers.
• Collaborate with Data Scientists, Engineers, Product Managers, and Marketing Managers to define metrics and surface insights.
• Communicate findings clearly to technical and non-technical stakeholders using data storytelling.
• Champion data accuracy and experimentation practices to raise measurement standards.

Skills

SQL

ETL

Python

Data visualization

Tableau

Quicksight

Data modeling

Data warehousing

Statistics

AWS

Redshift

Oracle

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or Economics

Tools

AWS

Redshift

S3

Job description

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.

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.

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 Video—connecting off-app marketing touchpoints (such as email, push, a.com, 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 funnel—from acquisition and onboarding through long-term retention to inform personalization, measure customer engagement and channel effectiveness, and deliver the right content to the right customer at the right time.

Key job responsibilities

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 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.

Basic Qualifications:-

• 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

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