Description
Amazon strives to be Earth's most customer-centric company, where people can find and discover virtually anything they want to buy online. By focusing on delivering what customers want—low prices, vast selection, and convenience—we set big goals and look for talented individuals who can help us achieve and exceed them.
This leader will be our customers' best advocate, driving ideation and solving complex problems in one of the fastest growing segments of the Retail business. A successful candidate will be a self-starter comfortable with ambiguity and working in a fast-paced environment. This role requires an individual who strives to answer business/operational questions and who works across functional boundaries. You will transform data into actionable insights and enjoy taking a data-driven approach to solving complex business problems. You will work on highly ambiguous problems with stakeholders across multiple business, science and tech teams in Catalog, Shopping, compliance, and Selling Partner Services. This role comes at the intersection of business, technology, statistics, and data mining. To succeed in this role you should be passionate about working with large datasets and be someone who loves to bring data together to answer key business questions. You should have deep expertise in the creation and management of datasets and a proven track record of pulling data through SQL and translating that data into meaningful insights to answer key business questions. In this role, you will have ownership of end-to-end development of reports and solutions to complex questions and you’ll play an integral role in strategic decision-making.
Key job responsibilities
- Gather data and perform sophisticated analytical exercises
- Employ data mining and other analytical techniques to capture defects in catalog inputs
- Drive standardization, simplification, and automation of internal processes and products
- Manage weekly and monthly business reporting and create relevant measurement dashboards
- Work with various stakeholders to understand business drivers, goals, and actionable outcomes using analytics
A day in the life
The successful candidate will be comfortable with advanced data mining techniques, have strong analytical and communication skills, and have a passion for using data to drive business decisions. You develop strong working relationships with business partners (such as Legal, Compliance, Search, Catalog, and Vendor Management teams) to define and understand complex business questions and analyze data to identify the root cause and drive strategic business decisions.
About The Team
Our team supports some of the fastest growing segments of the Retail business: Fashion (Clothing, Shoes, Jewelry, Watches, and Accessories) and Fitness (Sports, Outdoors). Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.
Basic Qualifications
- 5+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree or equivalent
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience with end-to-end product delivery
- Experience as a product manager or owner
- Experience in quantitative and qualitative research
Preferred Qualifications
- Master's degree or equivalent
- Experience in influencing senior leadership through data driven insights
- Experience working across functional teams and senior stakeholders
- Experience in product or program management, product marketing, business development or technology
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.
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