DESCRIPTION Our customers have immense faith in our ability to deliver packages timely and as expected A well planned network seamlessly scales to handle millions of package movements a day It accurately forecasts the package movements across the network has monitoring mechanisms that detect failures before they even happen such as predicting network congestion operations breakdown When failures do happen it has inbuilt redundancies to mitigate impact such as determine other routes or service providers that can handle the extra load and avoids relying on single points of failure service provider node or arc Finally it is cost optimal so that customers can be passed the benefit from an efficiently set up network Amazon Shipping SWA is hiring Business Intelligence Engineer BIE to enhance the pick-up experience and reduce first-mile costs As a BIE at SWA you will lead the data and reporting requirements for First Mile and Pickup programs Your role will involve close engagement with senior leaders to generate insights and conduct deep dives into key metrics that directly influence organizational strategic decisions and priorities You will demonstrate a high proficiency in complex SQL scripting often combining various data sets from diverse sources You will contribute to projects to improve Volume Forecasting and Capacity Panning You will own the design development and maintenance of ongoing metrics reports dashboards etc to drive key business decisions You will simplify and automate reporting audits and other data-driven activities You will partner with Data Engineering to enhance data infrastructure data availability and broad access to customer insights You will develop and drive best practices in data integrity consistency validations and documentation You will work as part of a diverse data science and engineering team comprising of Applied Scientists Software Development Engineers and other BIEs BASIC QUALIFICATIONS 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 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 setting with large-scale complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit https amazon jobs content en how-we-hire accommodations for more information If the country region you re applying in isn t listed please contact your Recruiting Partner

📌 Business Intelligent Engineer Ii, Ship With Amazon (Haryana)
🏢 Amazon.com
📍 Haryana