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Job Description

DESCRIPTION

· Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available.

· Create global standard metrics across regions and perform benchmark analysis.

· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.

· Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.

· Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.

· Develop efficient data querying and modeling infrastructure.

· Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.

· Utilizing code (SQL, Python, R, Scala, etc.) for analyzing data and building statistical models.


Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

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