Seattle, WA, US
29 days ago
BIE I - Amazon Vendor Services, Amazon Vendor Services
The Amazon Vendor Services (AVS) organization strives to improve the Amazon customer experience by working directly with Selling Partners to enable more selection, reduce defects, and drive growth across their businesses. Our team invents and innovates across technology, processes and people to enhance the services we offer, improve Selling Partner engagement and satisfaction, and build scalable solutions.

Our team is responsible for building robust processes, identifying opportunities for improvement, and partnering with dependent teams to improve tools and systems for internal and external customers.

As a BIE, you will develop, standardize, and report on data which drives efficiency and scalability for the AVS Program. You will work closely with business intelligence, data engineering, operations, marketing, and other Retail partners to improve the Selling Partner experience. You will develop and implement ideas that drive continuous improvement by simplifying processes and driving automation. This position provides opportunities to influence one of the high visibility and high impact areas in the organization.

The ideal candidate is highly analytical, resourceful, customer-focused and team oriented, with clear communication skills and the ability to build effective relationships with key stakeholders. You are also have a history of delivering results in a fast-paced and dynamic business environment.


Key job responsibilities
- Use analytical and statistical rigor to solve complex problems and drive business decisions
- Mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and log files by writing scripts (ex. PERL, Python, UNIX)
- Develop deep-dive tools, UIs, metrics, and dashboards
- Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance. This will require data gathering and manipulation, synthesis and modeling, running simulations, problem solving, and communication of insights and recommendations.
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