Job 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.
Want to be part of a team that is helping redefine the future of video advertising? Prime Video is looking for a world-class Business Intelligence Engineer to help
execute against our team?s strategic advertising initiatives and change how advertisers engage with consumers via streaming media around the world.
Video Advertising is rapidly evolving as customers shift their viewing experiences from traditional linear TV to streaming via connected devices. Prime Video is a rising player in this space. We have differentiated assets in terms of consumer experiences and audience insights against a breadth of exclusive content which positions us well for the long-term.
As a Sr Business Intelligence Engineer on the Ads CX team, you will drive decision-making by transforming advertising data into insights. In this role, you will collaborate with Product Managers, Engineers, and Program Managers to provide analytical support, using statistical techniques and data visualization tools to uncover patterns and metrics.
You'll be responsible for developing data models, creating dashboards, and delivering recommendations that help optimize advertising strategies and user experiences across streaming platforms.
Key job responsibilities
Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs
Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions
Be able to swiftly prioritize and multi task based on severity level and strong business judgement.
Partner with Product Managers, Engineers, and Program Managers to design reports and analyses which answer important business questions.
Identify new opportunities to improve our Fashion Ads CX on Prime Video based on data insights
About the team
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!
Basic Qualifications
Experience programming to extract, transform and clean large (multi-TB) data sets
5+ years of SQL experience
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred Qualifications
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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.
Want to be part of a team that is helping redefine the future of video advertising? Prime Video is looking for a world-class Business Intelligence Engineer to help
execute against our team?s strategic advertising initiatives and change how advertisers engage with consumers via streaming media around the world.
Video Advertising is rapidly evolving as customers shift their viewing experiences from traditional linear TV to streaming via connected devices. Prime Video is a rising player in this space. We have differentiated assets in terms of consumer experiences and audience insights against a breadth of exclusive content which positions us well for the long-term.
As a Sr Business Intelligence Engineer on the Ads CX team, you will drive decision-making by transforming advertising data into insights. In this role, you will collaborate with Product Managers, Engineers, and Program Managers to provide analytical support, using statistical techniques and data visualization tools to uncover patterns and metrics.
You'll be responsible for developing data models, creating dashboards, and delivering recommendations that help optimize advertising strategies and user experiences across streaming platforms.
Key job responsibilities
Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs
Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions
Be able to swiftly prioritize and multi task based on severity level and strong business judgement.
Partner with Product Managers, Engineers, and Program Managers to design reports and analyses which answer important business questions.
Identify new opportunities to improve our Fashion Ads CX on Prime Video based on data insights
About the team
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!
Basic Qualifications
Experience programming to extract, transform and clean large (multi-TB) data sets
5+ years of SQL experience
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Preferred Qualifications
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/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.
Key skill Required
- SQL
- Python
- AWS
- Automation
- Business Intelligence
- Advertising
- Analysis
- Data Insights
- Data Mining
- Data Science
- Data Visualization
- Design
- Inclusive
- Intelligence
- Judgement
- Leadership
- Learning
- Machine Learning
- Mining
- Onboarding
- Orientation
- Ownership
- Science
- Statistical Analysis
- Streaming Media
- Talented
- User Experience
- Visualization
