Want to be at the forefront of building tools that drive Amazon profitability If so then Stores Finance Analytics & Insights is the right team for you! As a Business Intelligence Engineer you will work with our Finance and Business stakeholders 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 building insights into various profitability related programs and deep diving the assumptions behind each program to test our initial hypotheses and assumptions. You will leverage the data to provide key data-driven insights enable new opportunities and innovate on behalf of our business customers.
Key job responsibilities Own design develop document and manage scalable solutions for new and ongoing metrics reports analyses and dashboards to support business needs. Generating actionable insights through the development of metrics dashboards and deep dive analyses. Serve as a technical business-metrics specialist and insight provider in the organization. Acting as a key interface between our business customers and technical divisions.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - 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 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 - Experience in Statistical Analysis packages such as R SAS and Matlab
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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