Business Intel Engineer II, GTS Field - Kadie Newman
Business Intel Engineer II, GTS Field - Kadie Newman
Posted on :
06-05-2025
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1 Vacancy
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Job Description
Canada Transportation team is responsible for our transportation networks 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 worlds 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 datadriven approach to identifying and prioritizing the most impactful efforts.
Ability to work on a diverse team or with a diverse range of coworkers
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.
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 datadriven approach to identifying and prioritizing the most impactful efforts.
Ability to work on a diverse team or with a diverse range of coworkers
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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