| Publication or Company |
Amazon
|
| Job Duration |
Full Time |
| Job Location |
Seattle, WA |
| Job Requirements |
Amazon Fashion is seeking a creative, goal-oriented and highly analytical person to join our dynamic team. We are focused on growing a smart assortment of brands and providing easy access to fashion, within the best possible shopping experience for our fashion customers. Our team is growing and if you are passionate about data analytics, e-commerce and career growth, an opportunity with Amazon Fashion may be a great match!
We are looking for a motivated self-starter that can work independently in an active, ambiguous environment. You’ll help us analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key issues. The successful candidate will be highly analytical, have an extremely high level of customer focus and a passion for process improvement.
Responsibilities include:
- Retrieve and aggregate data from multiple sources and compile into a digestible and actionable format
- Drive complex analyses such as internet traffic analysis and customer segmentation in order to drive business decisions
- Develop automated reporting solutions to monitor and refine business metrics through partnership with business owners
- 2+ years of experience writing advanced MySQL/SQL queries in a professional setting, including joining large datasets from multiple sources
- 3+ years of advanced Excel experience, analyzing data and creating automated reports using pivot tables, vlookups, graphs, macros, and dynamically linked data
- Bachelor's degree in Finance, Economics, Business, Engineering, Statistics, Computer Science, Mathematics or related field
- Excellent oral and written communication skills including the ability to influence effectively with both technical and non-technical stakeholders
- Master’s degree in Finance, Economics, Business, Engineering, Statistics, Computer Science, Mathematics or related field
If interested, please apply online at http://track.tmpservice.com/ApplyClick.aspx?id=1878194-2015-9996 |
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