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Business Intelligence Engineer, Forecasting & Labs Analytics

Amazon
Toronto, CAN
Full-time
Mid · 3+ years experience
Onsite
CAD 76400-127600 yearly / year
Discovered 2 weeks ago
RedshiftOracleNoSQLTableauQuicksightSQL

Full Job Posting

Description

Amazon has the world’s most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning fast delivery speeds. We need your skills to optimize our supply chain, with the end goal of delighting our customers. A core part of the supply chain operations is Demand Forecasting: We forecast the demand of tens of millions of products. These forecasts are used to make many decisions, such as automatically order hundreds of millions worth of inventory, decide where to place that inventory, and establish labor plans for hundreds of warehouses. We need a creative, smart and enthusiastic Business Intelligence Engineer. Your mission will be to improve forecast accuracy and enable partner teams and customers to optimize supply chain decisions. You will do this by detecting, diagnosing and correcting forecast problems and generating metrics and insights. You will have the resources and tools to help you deliver this mission - support from partner teams like Data Engineering/Data Science/Program, rich datasets and tools like AWS Redshift and Tableau. Key job responsibilities As a Business Intelligence Engineer in forecasting, you will be responsible for: - Understanding the opportunities for improvement and partnering with PMs, Science and Engineering to design solutions to complex forecasting problems. - Come up with innovative solutions working with our machine learning & research scientists that solves forecasting challenges for new businesses that Amazon keeps inventing. - Communicate and earn trust with our customers in retail & our downstream systems. - Develop strong reporting mechanisms for internal and external teams.

Basic Qualifications

  • - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 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

Preferred Qualifications

  • The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

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