At Amazon were working to be the most customercentric company on earth. WW Selling Partner Services (SPS) mission is to enable the longterm success of our selling partners by providing the most trusted shopping and selling experience and by providing solutions for accelerating our selling partners business growth. The US Seller Business organization within SPS is responsible for driving the growth and profitability of the US Fulfillment By Amazon (FBA) and Merchant Fulfillment Network (MFN) programs.
How do we do this Data lots of data. We scour a vast array of DataWarehouse tables including offerlevel evaluations historical and projected sales and profitability vendor benchmarking and heuristics to optimize Amazons profitability.
As a Business Intelligence Engineer you will work with our Finance team and partner with the business to create automated and scalable analytical tools that will ultimately be critical in driving the growth and profitability of the business. This includes building the infrastructure for regular reporting on business performance writing the logic for programlevel opportunity valuation and deep diving the assumptions behind each program to test our initial hypotheses and assumptions. You will leverage the data to provide key datadriven insights enable new opportunities and innovate on behalf of our business customers. Your responsibilities will include: Owning the core reporting infrastructure and ensuring accuracy integrity and reliability Generating actionable insights through the development of metrics dashboards and deep dive analyses Serving as a technical businessmetrics specialist and insight provider in the organization Acting as a key interface between our business customers and technical divisions
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience Experience with data visualization using Tableau Quicksight or similar tools Experience with data modeling warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
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 largescale complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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