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Business Intelligence Engineer , Prime Video Personalization and Discovery

Amazon

Seattle, WA

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JOB DETAILS
SKILLS
Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Business Intelligence, Data Analysis, Data Mining, Data Modeling, Data Processing, Data Sets, Data Visualization, Data Warehousing, Database Extract Transform and Load (ETL), Economics, Film, MATLAB, Marketing, Mathematics, Metrics, NoSQL, Oracle, Problem Solving Skills, Process Modeling, Product Lifecycle, Product Marketing, Python Programming/Scripting Language, R Programming Language, Reporting Dashboards, Reporting Skills, SQL (Structured Query Language), Scripting (Scripting Languages), Statistical Analysis System (SAS), Statistics, Streaming Technology, Tableau, Team Player, Technical Leadership, Video Production, Video Streaming
LOCATION
Seattle, WA
POSTED
2 days ago
Description Are you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe? As part of the Prime Video team, you'll get to work on projects that are fast-paced, challenging, and varied. Also, you'll get 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 creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you! Are you ready to shape how millions of customers worldwide discover and enjoy their favorite shows and movies? Join our dynamic team that powers the intelligence behind Prime Video's personalized viewing experience. We're looking for a passionate Business Intelligence Engineer who will help leverage meaningful insights that directly influence how viewers interact with one of the world's largest streaming platforms. In this role, you'll be at the intersection of entertainment and technology, collaborating with engineering, product management, and marketing to uncover patterns in viewer behavior and translate them into actionable recommendations. You'll have the opportunity to impact how customers discover new content they'll love, whether they're browsing the homepage or searching for their next binge-worthy series. What makes this position special is the scale and impact of your work - your insights will help shape the viewing experience for millions of Prime Video users globally. You'll be part of a team that values creative problem-solving and data-driven decision making, working with modern technologies and methodologies in the streaming entertainment space. If you're excited about creating personalized entertainment experiences and using data to tell compelling stories that drive product innovation, this role offers you the perfect stage to make your mark. You'll be joining a collaborative environment where your ideas will be heard and your contributions will directly influence how people around the world discover and enjoy entertainment. Key job responsibilities - Drive data-based strategic decisions for international video streaming service - Partner with engineering, product, and marketing teams - Set and track program goals and metrics - Design scalable data solutions based on business requirements - Develop reporting dashboards and metrics visualization - Use tools like SQL, ETL, Redshift, QuickSight, and Tableau - Manage complete development lifecycle from design to maintenance About the team Prime Video Personalization and Discovery empowers customers to fulfill all content streaming needs by delivering engaging and relevant recommendations from Prime Video's extensive premium library, every time they use the app. Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 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 - Bachelor's degree or advanced studies in a quantitative field (engineering, economics, math, and statistics) - Experience managing large technical programs, particularly at high growth startups or large enterprises 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

About the Company

A

Amazon

INDUSTRY
Other/Not Classified

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