Logo
Amazon

Senior Business Intelligence Engineer, Prime Video Sports Tech Ops

Amazon, Seattle, Washington, us, 98127


Senior Business Intelligence Engineer, Prime Video Sports Tech Ops

Live Sports represent the next major growth vertical for Prime Video. We're acquiring the biggest and best events like NFL Thursday Night Football for our customers and building new experiences to change the way people watch live sports! We're looking for a Sr. Business Intelligence Engineer to help us build scalable BI solutions for our fast growing business. If you are passionate about AWS big data technologies and world class sports entertainment, this is a great opportunity that brings them together.Key job responsibilities

As a Sr. BIE, Prime Video Sports Ops, your responsibilities will include:Translate basic business problem statements into specific analytical requirements. Work with internal stakeholders to define best output to meet customer needs.Own the design, development, and maintenance of scalable self-service BI solutions for metrics, reports, analyses, dashboards, etc.Develop domain expertise and drive major contributions to our data and research roadmap.Prioritize effectively in a fast-paced environment and matrix organization.About the team

The Prime Video Sports Operations BI team's core mission is to help our partners make decisions and measure performance across a broad range of domains from content pipelines and service operations to customer journeys and product experiences. We work closely with product management, engineering, content acquisition, operations, and senior leadership to improve our services, launch new sports entertainment content and experiences, grow the business, and delight customers. It's still early days at Prime Video Sports and our team is looking ahead and building a strong foundation for the growth to come!BASIC QUALIFICATIONS

10+ years of professional or military experience5+ years of SQL experienceExperience programming to extract, transform and clean large (multi-TB) data setsExperience with theory and practice of design of experiments and statistical analysis of resultsExperience with AWS technologiesExperience 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 miningPREFERRED QUALIFICATIONS

Experience working directly with business stakeholders to translate between data and business needsExperience managing, analyzing and communicating results to senior leadershipExperience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.Knowledge of data warehousing and data modelingExperience with data visualization using Tableau, Quicksight, or similar toolsAmazon 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.

#J-18808-Ljbffr