DESCRIPTION

Would you like to shape the future of the video entertainment industry for movies, TV and live sports events? Does solving complex problems within large scale systems excite you? If you answered yes, come build the future of entertainment with us!

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!

The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.

Key job responsibilities
– Build high quality data architecture and ETL data pipelines using SQL and Scripting to enable BI Solutions.
– Retrieve and analyze data using a broad set of Amazon’s data technologies (ex. AWS S3, Glue, SageMaker, Amazon Internal Platforms/Solutions) and resources, knowing how, when, and which to use.
– Design, build, and maintain self-service automated reporting, analyses, dashboards to enable data driven decisions across our team and with partner teams.
– Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.
– Monitor and report on performance by collecting, analyzing and summarizing performance data and trends, identifying and resolving problems and developing recommendations.
– Work closely with business stakeholders and leadership team to define the analytics roadmap and structure of our data solutions.
– Manage and execute analytics solutions end-to-end including project management, data gathering and manipulation, modeling, problem solving, and communication of insights and recommendations.
– Earn the trust of your customers and stakeholders by continuing to constantly obsess over core business use cases and analytics needs.
– Prioritize effectively in a fast-paced environment and matrix organization.

About the team
PVXT Intelligence comprises multiple teams that own the data platform, the streaming metrics computation engine, a range of published datasets consumed by diverse business units and the customer facing tooling for accessing petabytes of data in a readily consumable format. We support a range of customers such as playback engineers looking at diagnostic telemetry, partner teams working on algorithms for improving playback performance and operators monitoring live international sports events.

The charter of the Tools, Monitoring and Insights Team (within PVXT Intelligence) is to develop systems that generate actionable metrics, datasets, insights, and intelligence which consumers can explore via tools, dashboards, ML systems or APIs to automate actions. We partner closely with our sister team that collects trillions of events per day direct from end user devices all around the world. We love data and the value we can deliver to our customers through automated analysis of that data whilst at all times doing so with appropriate security and privacy controls. We also know that numbers are of little use without context, and to that end have empowered our users by creating and exposing KPIs and associated insights to users through a variety of interfaces including intuitive web applications that offer a guided flow every step of the way from analyzing top level metrics down to exploring a single streaming session. We additionally strive to automate data exploration where we can, and are investing into new machine learning models to identify the top items our teams should focus on to improve overall customer experience with the entire Prime Video platform.

Within the team, we’re looking for a results-driven and customer-obsessed BI Engineer to develop our data strategy, lead customer analytics initiatives, and drive insights capabilities. This individual will have proficiency in employing business intelligence solutions, excellent analytical abilities, strong business acumen, dealing with ambiguity, and good judgment. This individual will also provide thought leadership against future modeling capabilities and programs that enable the improvement of video streaming. They will influence data driven business decisions that results in quantifiable outcomes, understanding complex business relationships, and developing a correlation between their work and PV’s quality of experience. The ideal candidate has a strong sense of ownership, is self-driven and loves to break new ground. You will bring a mix of experience including data analytics, reporting automation, complex global program management, senior stakeholder management, cross-functional collaboration, strategic planning, and process improvement.

Our team supports streaming of Video on Demand Content including Amazon Originals, thousands of linear channels and live events (sports, concerts, etc.). If you’re interested in working with streaming video at scale, one of the largest Big Data problems in the world, low latency stream processing, and developing solutions that generate insights through machine learning and tooling to our customers then you would be a perfect fit!

BASIC QUALIFICATIONS

– 10+ years of professional or military experience
– 5+ years of SQL experience
– Experience programming to extract, transform and clean large (multi-TB) data sets
– 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
– Prior functional experience in video streaming and/or media & entertainment

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 $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.

USA, WA, Seattle