Amazon
BIE, Prime Video Catalog, Prime Video Catalog Tech
Amazon, Seattle, Washington, us, 98127
DESCRIPTION
Prime Video is changing the way millions of customers interact with video content. Our team delivers high-quality video to Amazon customers through subscriptions (Amazon Prime) as well as purchases and rentals. Amazon believes so deeply in the mission of Video that we've launched our own studio to create original and exclusive content. Every day we face the challenges of a fast-paced market and expanding technology set. You will have the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.
Amazon is looking for a Business Intelligence Engineer (BIE) to join the Global Video Supply Chain organization. Global Video Supply Chain owns the largest, richest catalog of video content in the world, available to customers as early as possible. We enable Amazon Video's customers all around the world to discover, purchase, and stream any title in any language anywhere.
We're looking for a BIE who can help us drive data-driven decision-making across the Prime Video Catalog. You will own partnering with data engineering and software engineering teams to drive best-in-class business intelligence solutions at scale. You will work with structured and unstructured data sources to develop deep business insights and architect key business metrics. You will partner with scientists to build forward-looking data experimentation, predictive modeling, and machine learning algorithms.
Core responsibilities include:Drive the design, development, and maintenance of innovative and scalable intelligence solutions across the organization, with the highest standards of analytical rigor and data integrity.Develop domain expertise and drive major contributions to our data and research roadmap. Leverage SQL, ETL, Redshift, and other available tools to uncover deep business insights, trends, and opportunities to innovate on behalf of our customers.Partner with data engineering to build best-in-class data architecture and pipelines to support analytics needs.Translate ambiguous business problem statements into actionable analytical solutions. Manage large scale data requests and projects to define requirements, manage timelines, and coordinate activities with other involved team members.Partner with scientists to translate business insights and trends into experimentation and testing, and modeling.Mentor and develop other analytics team members.
BASIC QUALIFICATIONS3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONSExperience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/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 https://www.aboutamazon.com/workplace/employee-benefits.#J-18808-Ljbffr
Prime Video is changing the way millions of customers interact with video content. Our team delivers high-quality video to Amazon customers through subscriptions (Amazon Prime) as well as purchases and rentals. Amazon believes so deeply in the mission of Video that we've launched our own studio to create original and exclusive content. Every day we face the challenges of a fast-paced market and expanding technology set. You will have the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.
Amazon is looking for a Business Intelligence Engineer (BIE) to join the Global Video Supply Chain organization. Global Video Supply Chain owns the largest, richest catalog of video content in the world, available to customers as early as possible. We enable Amazon Video's customers all around the world to discover, purchase, and stream any title in any language anywhere.
We're looking for a BIE who can help us drive data-driven decision-making across the Prime Video Catalog. You will own partnering with data engineering and software engineering teams to drive best-in-class business intelligence solutions at scale. You will work with structured and unstructured data sources to develop deep business insights and architect key business metrics. You will partner with scientists to build forward-looking data experimentation, predictive modeling, and machine learning algorithms.
Core responsibilities include:Drive the design, development, and maintenance of innovative and scalable intelligence solutions across the organization, with the highest standards of analytical rigor and data integrity.Develop domain expertise and drive major contributions to our data and research roadmap. Leverage SQL, ETL, Redshift, and other available tools to uncover deep business insights, trends, and opportunities to innovate on behalf of our customers.Partner with data engineering to build best-in-class data architecture and pipelines to support analytics needs.Translate ambiguous business problem statements into actionable analytical solutions. Manage large scale data requests and projects to define requirements, manage timelines, and coordinate activities with other involved team members.Partner with scientists to translate business insights and trends into experimentation and testing, and modeling.Mentor and develop other analytics team members.
BASIC QUALIFICATIONS3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceExperience with data visualization using Tableau, Quicksight, or similar toolsExperience with data modeling, warehousing and building ETL pipelinesExperience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONSExperience with AWS solutions such as EC2, DynamoDB, S3, and RedshiftExperience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/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 https://www.aboutamazon.com/workplace/employee-benefits.#J-18808-Ljbffr