Business Intel Engineer II, Canada Transportation Team
Business Intel Engineer II, Canada Transportation Team
Posted on :
23-05-2025
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1 Vacancy
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Job Description
Join Amazons Canada Transportation team as a Data Analyst to help optimize our vast transportation network. Youll create robust reporting systems develop insightful metrics and build sophisticated analytics and forecasting models to support the delivery of millions of shipments across Canada each year.
Key Responsibilities:
Design and implement structured reporting systems
Develop key metrics and analytics to drive business decisions
Create forecasting models to optimize transportation operations
Extract process and analyze large datasets (100K to millions of rows)
Collaborate with stakeholders to transform business problems into actionable insights
Utilize BI tools to create impactful visualizations and reports
Develop and maintain data pipelines and processes
A day in the life
As a Data Analyst on our team youll start your day by reviewing the latest transportation metrics and identifying areas for improvement. You might spend the morning collaborating with operations teams to understand their data needs and translate them into technical requirements. In the afternoon you could be deep in SQL queries extracting and analyzing data from our vast data warehouse. Youll use your programming skills to automate reporting processes and create scalable solutions. Your day might end with presenting your findings to leadership using data visualizations to tell a compelling story about our transportation networks performance.
About the team
The Canada Transportation team is at the heart of Amazons logistics operations in Canada. Were a diverse group of problemsolvers working with one of the worlds largest and most complex data environments. Were passionate about using data to enhance the customer experience and optimize our transportation network. Our team values collaboration innovation and a datadriven approach to tackling complex challenges in the fastpaced world of ecommerce logistics.
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
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 largescale 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 for more information. If the country/region youre applying in isnt 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 $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key Responsibilities:
Design and implement structured reporting systems
Develop key metrics and analytics to drive business decisions
Create forecasting models to optimize transportation operations
Extract process and analyze large datasets (100K to millions of rows)
Collaborate with stakeholders to transform business problems into actionable insights
Utilize BI tools to create impactful visualizations and reports
Develop and maintain data pipelines and processes
A day in the life
As a Data Analyst on our team youll start your day by reviewing the latest transportation metrics and identifying areas for improvement. You might spend the morning collaborating with operations teams to understand their data needs and translate them into technical requirements. In the afternoon you could be deep in SQL queries extracting and analyzing data from our vast data warehouse. Youll use your programming skills to automate reporting processes and create scalable solutions. Your day might end with presenting your findings to leadership using data visualizations to tell a compelling story about our transportation networks performance.
About the team
The Canada Transportation team is at the heart of Amazons logistics operations in Canada. Were a diverse group of problemsolvers working with one of the worlds largest and most complex data environments. Were passionate about using data to enhance the customer experience and optimize our transportation network. Our team values collaboration innovation and a datadriven approach to tackling complex challenges in the fastpaced world of ecommerce logistics.
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
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 largescale 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 for more information. If the country/region youre applying in isnt 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 $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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