Amazon Grocery is seeking a Business Intelligence Engineer (BIE) who is passionate about data. Our team seeks to develop solutions that increase the speed and quality of decisionmaking through analytics automation and reporting. In this role you will drive Grocery Instock & Shrink analytics and developing insight driven tooling.
To be successful in this role you must have a high capacity to Learn and Be Curious adapting to the latest changes in the business systems tools and techniques for extracting processing analyzing modeling and taking action on data. The ideal candidate will be a selfstarter highly analytical consistently think in terms of automation and intensely detailed with a strong customer focus to drive strategy in a fastpaced environment with limited supervision. The ideal candidate shows good judgment in making technical tradeoffs between short term and longterm business needs and demonstrate the ability to drive issues to completion.
As a BIE on our team you will focus on exciting and challenging problems including: Apply your deep analytic and business intelligence skill to extract meaningful insight from large and complicated data sets Engage business stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data statistics and/or scripting Design develop and implement scalable automated infrastructure for data extraction processing computation and delivery Support fellow engineers and scientists to deliver analytical projects and build proof of concept applications Work closely with data engineering product management and business stakeholders to deliver features to customers Learn new technology and techniques such that you can meaningfully support product and process innovation Help drive new initiatives and data integration projects
2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience Experience with data visualization using Tableau Quicksight or similar tools Experience with statistical analysis corelation analysis 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
Masters degree or Advanced technical degree 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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