Description

　　Amazon is looking for a BI Program Manager to lead Data scope in the BR AVS Central Team with excellent technical and analytical abilities. The WW Amazon Vendor Services (AVS) Program are a suite of services designed to help Amazon's most strategic vendors grow and deliver the best customer experience by working across all key retail levers (e.g. selection, availability, operational efficiency, catalog quality, and marketing). The service is delivered primarily through Brand Specialists assigned to specific vendors. As a BI Program Manager, you will enable scalable data flow through our systems so we can accurately make decisions. Your priority will be to set-up a data structure we can feed our reports and set-up data processes for possible changes and enhancements across key retail metrics, working continuously to improve the productivity of your team. You will work in close collaboration with Brand and Instock Specialists, Vendor and Instock Managers, Finance Business Partners and other key Retail stakeholders to understand vendors and business’ needs. Finally, you will be expected to contribute to continuous enhancements and innovation within the service. You should be passionate about diving deep into analysis and creating frugal and scalable solutions, resourceful and customer focused. You need to have a proven track record of delivering results in fast-paced and dynamic business environments while managing the needs of different groups of stakeholders.

　　Key job responsibilities

　　Collaborate with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to understand capabilities and limitations

　　Develop and recommend metrics that supports Business and Product growth

　　Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions

　　Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use

　　Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets

　　Triage many courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment

　　We are open to hiring candidates to work out of one of the following locations:

　　Sao Paulo, SP, BRA

　　Basic Qualifications

　　Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

　　Experience with data visualization using Tableau, Quicksight, or similar tools

　　Experience with data modeling, warehousing and building ETL pipelines

　　Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

　　Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

　　Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)

　　Preferred Qualifications

　　Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

　　Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets