Amazon
Business Intelligence Engineer, Prime Video Product Tech
Amazon, Seattle, Washington, us, 98127
Description
Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able 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 technologists, you can decide where a career Prime Video Tech takes you!
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and visionary people. We are looking for a highly analytical Business Intelligence Engineer to join our Prime Video team.
As a Business Intelligence Engineer, you will partner with cross-functional stakeholders to gather, translate, and report customer insights which will have a direct impact on decision making and strategy for Prime Video Product and Tech teams. You will support the production of key business reporting to our stakeholders, build scalable data solutions to complex problems and perform ad-hoc deep dives.
In doing so, you will have the opportunity to work with the one of the largest and most complex data warehouses in the world and collaborate with multiple Tech, Science, Product, and Marketing teams across the globe.
This position requires high judgment, excellent analytical abilities, a creative mind to invent solutions to improve our interaction with the customer; it also offers broad exposure to various business, product, and technical teams across Amazon. You should thrive and succeed in an entrepreneurial and ambiguous environment. If you are passionate about video entertainment, detail-oriented, organized, and systematically break down problems with ease, we would love to speak with you!
Key job responsibilities
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, to drive key business decisions
Apply advanced analytics, statistics and Machine Learning to derive impactful insights into customer behavior
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Build strong relationships with upstream engineering teams to enhance upstream data sources and develop data processes that enable more scalable and accurate reporting
Support Product and Business teams as required on ad-hoc and longer term analysis requests
A day in the life
Your day may begin with gathering business requirements from product team to support decision making and product development, utilizing complex SQL queries to analyze data from millions of Prime Video customers. This involves building data pipelines, transforming raw data into insightful visualizations and dashboards, identifying key trends and anomalies. You also apply analytics to dive deep on A/B testing results, offering strategic insights to the product team. Collaboration with the tech and science teams, in which you provide data-driven recommendations for tech design, Machine Learning model development and evaluation.
Basic Qualifications
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)
Preferred Qualifications
Master's degree, or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis, co-relation analysis
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 $74,100/year in our lowest geographic market up to $165,600/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able 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 technologists, you can decide where a career Prime Video Tech takes you!
At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and visionary people. We are looking for a highly analytical Business Intelligence Engineer to join our Prime Video team.
As a Business Intelligence Engineer, you will partner with cross-functional stakeholders to gather, translate, and report customer insights which will have a direct impact on decision making and strategy for Prime Video Product and Tech teams. You will support the production of key business reporting to our stakeholders, build scalable data solutions to complex problems and perform ad-hoc deep dives.
In doing so, you will have the opportunity to work with the one of the largest and most complex data warehouses in the world and collaborate with multiple Tech, Science, Product, and Marketing teams across the globe.
This position requires high judgment, excellent analytical abilities, a creative mind to invent solutions to improve our interaction with the customer; it also offers broad exposure to various business, product, and technical teams across Amazon. You should thrive and succeed in an entrepreneurial and ambiguous environment. If you are passionate about video entertainment, detail-oriented, organized, and systematically break down problems with ease, we would love to speak with you!
Key job responsibilities
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, to drive key business decisions
Apply advanced analytics, statistics and Machine Learning to derive impactful insights into customer behavior
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Build strong relationships with upstream engineering teams to enhance upstream data sources and develop data processes that enable more scalable and accurate reporting
Support Product and Business teams as required on ad-hoc and longer term analysis requests
A day in the life
Your day may begin with gathering business requirements from product team to support decision making and product development, utilizing complex SQL queries to analyze data from millions of Prime Video customers. This involves building data pipelines, transforming raw data into insightful visualizations and dashboards, identifying key trends and anomalies. You also apply analytics to dive deep on A/B testing results, offering strategic insights to the product team. Collaboration with the tech and science teams, in which you provide data-driven recommendations for tech design, Machine Learning model development and evaluation.
Basic Qualifications
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with scripting language (e.g., Python, Java, or R)
Preferred Qualifications
Master's degree, or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis, co-relation analysis
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 $74,100/year in our lowest geographic market up to $165,600/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.