Business Intelligence Engineer II, CACF ACES
Business Intelligence Engineer II, CACF ACES
Posted on :
04-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 89600 - 185000
Vacancy
1 Vacancy
Posted on :
04-06-2025
Job Description
Canada Customer Fulfillments (CACF) Amazon Customer Excellence Services (ACES) team is seeking a BIE to support country-wide projects and new processes at scale to support Amazons explosive growth within Canada. In this role you will partner with retail Fulfillment By Amazon (FBA) SCOT PerfectMile transportation and software/DE/ML teams to drive visibility and to support innovation across Canadas supply chain. The position provides opportunities to influence one of the highest visibility/high impact areas in the organization.
Are you interested in building analytical solutions for CACF ACES This position is for a Business Intelligence Engineer (BIE) to scale up our data projects to next level. This position requires experience in business intelligence solutions hands-on on data engineering and data science practices the ability to collaborate with various teams and excellent statistical and analytical abilities.
Key job responsibilities
- Building and managing benchmarking metrics for Amazons fulfillment practices both internally and externally against best-in-class operations
- Gathering and analyzing data across business functions to establish global standards for supply chain and product fulfillment
- Developing scripts to process data to support business analysis benchmarking and optimization efforts
- Generating complex queries to dive deep on process issues
- Innovate to improve customer experience and continuously remove cost from our fulfillment network
- Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality
- Research machine learning algorithms and implement by tailoring to business needs and test on large datasets.
Our ideal candidate is a full-stack data powerhouse who uses data to drive decision making to make the best products for our fulfillment centers. Members of this team will be challenged to innovate use the latest big data techniques. We are looking for people who are motivated by thinking big moving fast and exploring business insights. If you are autonomous and love to implement solutions to complex problems while working hard having fun and making history this may be the opportunity for you.
A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data and we collaborate with engineering science data and program/product teams to foster an innovative learning environment.
About the team
Canada Customer Fulfillment (CACF) ACES was founded to accelerate the expansion and improvement of the countrys end-to-end supply chain by closing the capability gap between CA and the US and fueling CAs high topline growth.
- 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
- Bachelors degree in Analytics Data Science Computer Science Mathematics or equivalent industry experience
- Expert SQL skills and proficiency in Python/R
- Experience using data to create insight drive business decisions and influence leadership
- 2 years of experience as a data scientist or data analyst in a high velocity data-driven environment
- 2 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- MS/MA or higher in Analytics Data Science Computer Science Mathematics or a related technical field
- Experience with AWS solutions such S3 SageMaker and Redshift
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 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Are you interested in building analytical solutions for CACF ACES This position is for a Business Intelligence Engineer (BIE) to scale up our data projects to next level. This position requires experience in business intelligence solutions hands-on on data engineering and data science practices the ability to collaborate with various teams and excellent statistical and analytical abilities.
Key job responsibilities
- Building and managing benchmarking metrics for Amazons fulfillment practices both internally and externally against best-in-class operations
- Gathering and analyzing data across business functions to establish global standards for supply chain and product fulfillment
- Developing scripts to process data to support business analysis benchmarking and optimization efforts
- Generating complex queries to dive deep on process issues
- Innovate to improve customer experience and continuously remove cost from our fulfillment network
- Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality
- Research machine learning algorithms and implement by tailoring to business needs and test on large datasets.
Our ideal candidate is a full-stack data powerhouse who uses data to drive decision making to make the best products for our fulfillment centers. Members of this team will be challenged to innovate use the latest big data techniques. We are looking for people who are motivated by thinking big moving fast and exploring business insights. If you are autonomous and love to implement solutions to complex problems while working hard having fun and making history this may be the opportunity for you.
A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data and we collaborate with engineering science data and program/product teams to foster an innovative learning environment.
About the team
Canada Customer Fulfillment (CACF) ACES was founded to accelerate the expansion and improvement of the countrys end-to-end supply chain by closing the capability gap between CA and the US and fueling CAs high topline growth.
- 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
- Bachelors degree in Analytics Data Science Computer Science Mathematics or equivalent industry experience
- Expert SQL skills and proficiency in Python/R
- Experience using data to create insight drive business decisions and influence leadership
- 2 years of experience as a data scientist or data analyst in a high velocity data-driven environment
- 2 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- MS/MA or higher in Analytics Data Science Computer Science Mathematics or a related technical field
- Experience with AWS solutions such S3 SageMaker and Redshift
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 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
