Business Intelligence Engineer, Forecasting & Labs Analytics

Overview

The Supply Chain Optimization Technologies (SCOT) organization has an immediate need for a creative business intelligence engineer (BIE) with a passion for building systems that have a measurable impact. The right candidate will be innovative and technically versatile. You will have the opportunity to work with one of the largest and most complex warehouses in the world to gather insights from across Amazon.

As a BIE, you should be an expert in the architecture of data warehouse solutions for the enterprise using multiple platforms. You should excel in the design, creation, management, and business use of extremely large datasets. Excellent business and communication skills are required to work with business analysts and data engineers to understand how best to design reporting and analytics data systems.

• Apply mining, quantitative analysis, and statistical models to understand how our customers interact with us and identify ways to improve the customer experience and meet our goals
• Build scalable solutions and self-serve platforms that will provide insights to inform business decision making
• Optimizing the performance of business-critical queries and dealing with ETL job-related issues
• Gathering and understanding data requirements, working with the team to achieve high quality data ingestion and building systems that can process, transform, and store the data in various relational and non-relational stores
• Dive deeply into technical details (e.g., key dependencies, design choices, operability, etc.) with engineering teams and drive constructive technical discussions. Extracting and combining data from various heterogeneous data sources
• Build and evaluate end-to-end designs for strengths and weaknesses (quality, scalability, latency, security, performance, data integrity, etc.)
• Create interactive visual dashboards with Tableau and Quick Sight
• Write clear documentation, architecture documents and create an engineering roadmap
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency

• Experience with Redshift, Oracle, No
  
  SQL, and 3+ years of analyzing and interpreting data
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience writing complex SQL queries
• 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
• Experience with AWS solutions such as EC2, Dynamo
  
  DB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon offers a range of benefits that support employees and eligible family members, including domestic partners and their children. Benefits can vary by location, hours, length of employment, and job status. Regular, full-time employees generally receive medical, dental, vision coverage; maternity and parental leave options; paid time off (PTO); and other benefits. The base salary range listed is CAD; final compensation includes additional elements such as sign-on payments and restricted stock units (RSUs) where applicable.

CAN, ON, Toronto - 76,400. CAD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.