Description Interested in the gig economy? Come be a part of it. Amazon Flex works directly with independent contractors – called delivery partners – to make deliveries to our customers. With Amazon Flex, individuals can now be their own boss delivering Amazon packages. The Amazon Flex Analytics team is building the global data platform that powers Amazon Flex worldwide. We’re working hard, having fun, and making history! The Flex Analytics team’s mission is to empower the Worldwide Flex organization with accurate, timely data and actionable insights that enables data-driven decision making at any level. Our goal to achieve this mission is to mature our service offerings to match the needs of our various customers. For our information consumers on the business and product teams we aim to provide insightful analyses that answer the ‘So what do we do about it?’ questions and not just the ‘What happened?’ questions. We provide access to core metrics and datasets via self-service tools that allow our customers to perform ad-hoc or exploratory analyses without the need for a BI developer. For our power users, which includes our science and tech teams, we serve as trusted partners and provide data engineering expertise and access to data at scale to support their business needs. Key job responsibilities We are making a fundamental shift from a team that answers questions to an AI-native decision intelligence platform that proactively detects problems, diagnoses root causes, and recommends actions — with or without human prompt. For this, we are hiring a Business Intelligence Engineer (BIE) to help us accelerate our development efforts. This person will build new business intelligence solutions end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these data sets to derive insights, answer business questions and drive growth. Key job responsibilities The primary responsibilities of this role include: Design, develop and maintain scaled, automated, user-friendly systems, reports and dashboards that support our analytical and business needs for forecasting and pricing. Use analytical and statistical rigor to solve complex problems and drive business decisions that help us achieve our strategic goals. Write high quality SQL code to retrieve and analyze data from database tables (primarily Redshift) and the data lake. Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross-functional teams, and an ability to work in a fast paced and ever-changing environment. 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 one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis

About Amazon Web Services (AWS)

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.