Business Intelligence Engineer, LMAQ

When you attract people who have the DNA of pioneers and the DNA of explorers, you build a company of like-minded people who want to invent. And that’s what they think about when they get up in the morning: how are we going to work backwards from customers and build a great service or a great product” – Jeff Bezos Amazon.com’s success is built on a foundation of customer obsession. Have you ever thought about what it takes to successfully deliver millions of packages to Amazon customers seamlessly every day like a clock work? In order to make that happen, behind those millions of packages, billions of decision gets made by machines and humans. What is the accuracy of customer provided address? Do we know exact location of the address on Map? Is there a safe place? Can we make unattended delivery? Would signature be required? If the address is commercial property? Do we know open business hours of the address? What if customer is not home? Is there an alternate delivery address? Does customer have any special preference? What are other addresses that also have packages to be delivered on th BASIC QUALIFICATIONS - 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 scripting language (e.g., Python, Java, or R) - Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) - Experience applying basic statistical methods (e.g. regression) to difficult business problems - Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports PREFERRED QUALIFICATIONS - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) - Knowledge of data modeling and data pipeline design - Experience in designing and implementing custom reporting systems using automation tools

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.