Come build the future of sports shopping as a Senior Business Intelligence Engineer (BIE) on Amazon’s Licensed Sports team, where you will be inspired working alongside best-in-class inventors, innovators, and huge sports fans! Amazon Licensed Sports is building the future of sports shopping and working to bring fans the best customer experience possible. Our approach and technology are nothing short of disruptive, and promise to challenge traditional approaches and change the way the industry operates for the benefit of fans. We are hiring a BIE to join Licensed Spots and build new business intelligence solutions end-to-end. The ideal candidate will be a true sports fan who is passionate about working with big data sets, and have the expertise to utilize these data sets to derive insights, answer business questions and drive growth.
Key job responsibilities
The primary responsibilities of this role include:
• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs across the business.
• Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals and ultimately grow the licensed sports business at Amazon while delighting fans.
• Write high quality SQL and Python code to retrieve and analyze data from database tables (e.g., Redshift, MySQL), and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.
• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed.
The successful candidate will demonstrate strong business acumen, and deep understanding of and passion for the sports landscape, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross functional teams, and an ability to work in a fast paced and ever-changing environment.
- 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
- 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.