Business Intelligence Engineer II, Amazon Time & Pay Innovation

Description Are you interested in innovating to help deliver Amazon Time & Pay (ATP) systems which deliver a world-class level of service to support hundreds of thousands of your fellow Amazonians working in our Fulfillment Centers, Logistics and Delivery, Customer Service and Data Centers; employees in our growing number of Amazon Books and Go Stores and more. On every continent (well, ok, not Antarctica at least, not yet). We are looking for a talented Business Intelligence Engineer to help build the data infrastructure as a critical component of ATP systems which impacts hundreds of thousands of Amazons hourly associates and all tech/BI teams which support these businesses across the globe. You will own generating insights and setting up BI processes from many large datasets and data pipelines (owned by our data engineering team) that feed into or from critical data systems at Amazon, and your insights will impact decisions on design and implementation of products for mission-critical use cases every day. You will work with engineers, product managers and business and tech leadership on a variety of projects with impact that spans the length and breadth of Amazon globally. ATP aims to build a unified one-stop-shop for our 1.5 million global employees, empowering our global workforce to manage their time at work, time away, leaves, and pay from a single, user-friendly experience. We are a dynamic and innovative team within ATP, dedicated to driving excellence in business intelligence and analytics. Our mission is to empower internal and external stakeholders with the insights and tools they need to thrive in the rapidly evolving digital landscape. Key job responsibilities - Own the design, development, and management of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support business needs. Perform variance analyses and identify risks and opportunities. - Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. Specifically, own all SQL, Redshift, Quicksight, Tableau functions ad hoc, recurring, and trouble-shooting. - Building models, dashboards and BI tools for real-time reporting and large-scale offline use cases. Providing self-service tooling that supports both basic metrics reporting and some simple drill downs. - Create persistent and scalable metrics to provide business insights into the product development function. - You will work closely with Product Managers, Data Engineers and software engineering teams to drive implementations of solutions - Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance. - Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems. - Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes. - Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities. - Generating complex queries to dive deep on process issues. About the team We are a passionate team dedicated to helping each other learn and grow. We foster a supportive environment where you'll receive mentorship, contribute to a positive team culture, and have the autonomy to make a real impact. We gather often to collaborate and ask questions, so bring your unique skills and experience and be prepared to share, learn, and grow with us. 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 environment with large-scale, complex datasets Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.