Sr. Bie, Prime Video: Playback Intelligence

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 is disrupting the traditional television and movie industry with a growing library of high-quality media. Prime Video launched in 2007 and has quickly become a strategic priority for the company, reflected in the service's recent expansion into over 240 countries and territories worldwide. Amazon invests in acquiring, producing and programming TV shows, movies and live events including must-see exclusive series like Rings of Power, The Boys, The Wheel of Time, and The Marvelous Mrs. Maisel. In addition to our On Demand catalog, Prime Video is excited to offer a wide selection of Linear Channels and Live Sports as well, including titles such as Thursday Night Football, English Premier League, NBA, MLB, ATP tennis, French Open, UEFA Champions League (list goes on..) world-wide at large scale.

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

Playback 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 Playback 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!

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

BASIC QUALIFICATIONS

• 5+ 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

• Experience using data and metrics to drive improvements and influence decision-making

PREFERRED QUALIFICATIONS

• Experience working directly with business stakeholders to translate between data and business needs

• Experience managing, analyzing and communicating results to senior leadership

• A record of customer advocacy and ability to influence without authority

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 $104,300/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.