Business Intelligence Engineer, Supply Chain - Amazon

Description Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization organization is for you. Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot The Shipment Optimization is seeking a brilliant Business Intelligence Engineer. The Shipment Optimization team helps deliver millions of packages to customers worldwide faster and cheaper each day, while providing extraordinary customer experience from website search to doorstep delivery. Our systems handle more than a million requests per second and make business decisions that impacts billions of dollars each year. With rapid expansion into new geographies, increasing complexity of the transportation network and expanding selection of products, the Transportation Optimization technology team has the opportunity to build software solutions that scale and propel the business through industry-leading technological innovations. Key job responsibilities As a Business Intelligence Engineer, you will be responsible for understanding and mining the large amount of data, build metrics and drive customer adoption and business improvements. You will play a leadership role in our team - the team will look to you for advice on analytical and business issues facing them. You will have a department-wide view of the analytical solutions that you build, and you will consistently think in terms of automating or expanding the results company-wide. You should be a self-starter who knows and loves working with BI tools, and who thrives on implementing creative approaches and dealing with the intricate complexity of large data sets, while partnering with customers to answer key business questions. You are analytical and creative, and you don't quit. Basic Qualifications - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - 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 - Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - 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.