Do you share a passion to help customers find the right products? Do you believe that a deep understanding of customers' shopping needs improves our ability to serve them? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI) solutions? Amazon Fashion drives multiple analytic, tech, and science initiatives to ensure customers are delighted by their purchases. The approach and technology are nothing short of disruptive, and promise to challenge traditional approaches, changing the way the industry operates.
We are hiring a Business Intelligence Engineer (BIE) to help accelerate our efforts in improving Amazon Fashion. This person will build new business intelligence solutions end-to-end in partnership with our Fashion Tech and Product partners. The ideal candidate will be 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.
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, 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.
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Mentorship & Career Growth: We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.