Description Canada Transportation team is responsible for our transportation network’s connectivity across Canada to deliver Millions of shipments each year. Our team is looking for a smart individual to help setup and deliver robust, structured reporting, and to create metrics, analytics and forecasting models. You will be working in one of the world's largest and most complex data warehouse environments. You will need an eye for detail, be proficient/advanced in SQL/DW/Python and have a knack for solving complex data and reporting challenges. A successful candidate will need to be able to collaborate with customers to understand and transform business problems into requirements and deliverables · BS in Computer Science, Operations Research, Industrial Engineering, Mathematics/Applied Mathematics, Economics/Applied Economics or in another quantitative and engineering field · 3+ years of experience in using quantitative analysis, including but not limited to forecasting, regression modeling and statistical process control. · 3+ years of experience with BI analytics/ reporting/visualization tools · 3+ years of experience with at least one scripting or general purpose programming language such as Python, Ruby, R, Java, etc. · 2+ years of experience conducting analysis using Excel · Experience with big data: extraction, processing, filtering, and presenting large quantities (100K to Millions of rows) of data. · Experience with data process: AWS technologies, SQL, and data pipelines · Graduate degree in Engineering, Logistics, or another quantitative field preferred. · Familiarity with AWS solutions (EC2, S3, Redshift, RDS) · Experience with Linux basic commands · Advanced knowledge of relational databases · Machine learning experience a plus. · Ability to automate scalable analytical and reporting solutions utilizing large data sets across multiple sources. · Familiarity with supply chain management concepts - forecasting, planning, optimization, and logistics - gained through work experience or graduate level education. · Passionate about the customer experience, and takes a data-driven approach to identifying and prioritizing the most impactful efforts. · Ability to work on a diverse team or with a diverse range of coworkers 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. 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.