14 Data Science jobs in Vancouver
Senior Business Intelligence Engineer, P2 Science, Data, and Insights, P2 Science, Data, and Insi...
Vancouver, British Columbia
Amazon
Posted 16 days ago
Job Viewed
Job Description
Description
Are you looking for a role where you have the opportunity to shape Amazon's Pricing and Promotions using data, analytics, and insights? If so, our role in Amazon's Pricing & Promotions Science, Data, and Insights organization is for you.
Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for the Pricing and Promotions organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and a has a track record of earning your customers and peer's trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.
Key job responsibilities
- Lead business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy.
- Conducting deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate Insights and drive growth discussions with Product teams.
- Producing written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improving back-end data sources for increased accuracy and simplicity.
- Recognizing and adopting best practices in reporting, analyses, data quality and modeling.
About the team
The Pricing & Promotions Science organization leverages planet scale multi-modal data on billions of Amazons and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.
Basic Qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience with AWS technologies
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience using AWS services such as EC2, S3, Glue, Redshift, QuickSight, Lookout, Bedrock, Lambda, Step functions and SageMaker.
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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $97,400/year up to $162,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
Are you looking for a role where you have the opportunity to shape Amazon's Pricing and Promotions using data, analytics, and insights? If so, our role in Amazon's Pricing & Promotions Science, Data, and Insights organization is for you.
Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for the Pricing and Promotions organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and a has a track record of earning your customers and peer's trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.
Key job responsibilities
- Lead business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy.
- Conducting deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate Insights and drive growth discussions with Product teams.
- Producing written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improving back-end data sources for increased accuracy and simplicity.
- Recognizing and adopting best practices in reporting, analyses, data quality and modeling.
About the team
The Pricing & Promotions Science organization leverages planet scale multi-modal data on billions of Amazons and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.
Basic Qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience with AWS technologies
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of design of experiments and statistical analysis of results
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience using AWS services such as EC2, S3, Glue, Redshift, QuickSight, Lookout, Bedrock, Lambda, Step functions and SageMaker.
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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $97,400/year up to $162,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
This advertiser has chosen not to accept applicants from your region.
0
Data Engineer, Pricing and Promotions Science Data and Insights
Vancouver, British Columbia
Amazon
Posted 2 days ago
Job Viewed
Job Description
Description
Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data?
Join our Pricing & Promotions Science, Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's annual worldwide revenue of billions of dollars.
Key job responsibilities
- Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow
- Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools
- Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions
- Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code
- Mentor junior engineers and share your knowledge of data engineering best practices
- Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions
A day in the life
You will:
- Identify key areas of concerns/limitations with current architecture and build next generation frameworks and systems that enable data teams to deliver on future needs
- Build automated data quality monitoring, audit and reconciliation mechanisms
- Develop and maintain core infrastructure and services for multiple data engineering teams
- Improve efficiency of operations in terms of cost, effort and reliability
About the team
The Pricing and Promotions Science Data and Insights Org strives to accelerate Customer, Seller, and overall Amazon success through the proactive development of automated intelligent pricing and promotions science and analytics systems. We facilitate making trustworthy data-driven decision making at scale. We look around corners for both long-term and short-term flywheel causal impacts, and think holistically, from sourcing to CX, and all customer journey touch points in between.
Basic Qualifications
- 4+ years of data engineering experience
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with SQL
- Experience with data audit and reconciliation strategies.
- Experience with data pipeline orchestration frameworks, such as Airflow.
- Experience with streaming data processing technologies.
Preferred Qualifications
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $103,300/year up to $172,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data?
Join our Pricing & Promotions Science, Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's annual worldwide revenue of billions of dollars.
Key job responsibilities
- Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow
- Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools
- Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions
- Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code
- Mentor junior engineers and share your knowledge of data engineering best practices
- Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions
A day in the life
You will:
- Identify key areas of concerns/limitations with current architecture and build next generation frameworks and systems that enable data teams to deliver on future needs
- Build automated data quality monitoring, audit and reconciliation mechanisms
- Develop and maintain core infrastructure and services for multiple data engineering teams
- Improve efficiency of operations in terms of cost, effort and reliability
About the team
The Pricing and Promotions Science Data and Insights Org strives to accelerate Customer, Seller, and overall Amazon success through the proactive development of automated intelligent pricing and promotions science and analytics systems. We facilitate making trustworthy data-driven decision making at scale. We look around corners for both long-term and short-term flywheel causal impacts, and think holistically, from sourcing to CX, and all customer journey touch points in between.
Basic Qualifications
- 4+ years of data engineering experience
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with SQL
- Experience with data audit and reconciliation strategies.
- Experience with data pipeline orchestration frameworks, such as Airflow.
- Experience with streaming data processing technologies.
Preferred Qualifications
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $103,300/year up to $172,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
This advertiser has chosen not to accept applicants from your region.
1
Data Engineer, Pricing and Promotions Science Data and Insights
Vancouver, British Columbia
Amazon
Posted 2 days ago
Job Viewed
Job Description
Description
Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data?
Join our Pricing & Promotions Science, Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's annual worldwide revenue of billions of dollars.
Key job responsibilities
- Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow
- Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools
- Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions
- Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code
- Mentor junior engineers and share your knowledge of data engineering best practices
- Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions
A day in the life
You will:
- Identify key areas of concerns/limitations with current architecture and build next generation frameworks and systems that enable data teams to deliver on future needs
- Build automated data quality monitoring, audit and reconciliation mechanisms
- Develop and maintain core infrastructure and services for multiple data engineering teams
- Improve efficiency of operations in terms of cost, effort and reliability
About the team
The Pricing and Promotions Science Data and Insights Org strives to accelerate Customer, Seller, and overall Amazon success through the proactive development of automated intelligent pricing and promotions science and analytics systems. We facilitate making trustworthy data-driven decision making at scale. We look around corners for both long-term and short-term flywheel causal impacts, and think holistically, from sourcing to CX, and all customer journey touch points in between.
Basic Qualifications
- 4+ years of data engineering experience
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with SQL
- Experience with data audit and reconciliation strategies.
- Experience with data pipeline orchestration frameworks, such as Airflow.
- Experience with streaming data processing technologies.
Preferred Qualifications
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $103,300/year up to $172,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data?
Join our Pricing & Promotions Science, Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's annual worldwide revenue of billions of dollars.
Key job responsibilities
- Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow
- Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools
- Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions
- Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code
- Mentor junior engineers and share your knowledge of data engineering best practices
- Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions
A day in the life
You will:
- Identify key areas of concerns/limitations with current architecture and build next generation frameworks and systems that enable data teams to deliver on future needs
- Build automated data quality monitoring, audit and reconciliation mechanisms
- Develop and maintain core infrastructure and services for multiple data engineering teams
- Improve efficiency of operations in terms of cost, effort and reliability
About the team
The Pricing and Promotions Science Data and Insights Org strives to accelerate Customer, Seller, and overall Amazon success through the proactive development of automated intelligent pricing and promotions science and analytics systems. We facilitate making trustworthy data-driven decision making at scale. We look around corners for both long-term and short-term flywheel causal impacts, and think holistically, from sourcing to CX, and all customer journey touch points in between.
Basic Qualifications
- 4+ years of data engineering experience
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with SQL
- Experience with data audit and reconciliation strategies.
- Experience with data pipeline orchestration frameworks, such as Airflow.
- Experience with streaming data processing technologies.
Preferred Qualifications
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $103,300/year up to $172,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
This advertiser has chosen not to accept applicants from your region.
2
Business Intelligence Engineer, P2 Science, Data, and Insights
Vancouver, British Columbia
Amazon
Posted today
Job Viewed
Job Description
Description
Shape How Amazon Serves Millions Through Pricing and Promotions
Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally.
Your Impact
As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions.
What Makes You a Great Fit
- You're a hands-on engineer who thrives on solving complex problems
- You have an insatiable curiosity and love learning new technologies
- You see opportunities where others see challenges
- You build trust through delivery and customer obsession
- You bring an entrepreneurial spirit to everything you do
What You'll Create
- Automated analytics systems that drive pricing and promotions decisions
- Sophisticated anomaly detection tools
- Data-driven insights that shape business strategy
- Solutions that simplify complex problems
- Tools that enhance customer experience
Why This Role
- Direct impact on Amazon's core business decisions
- Opportunity to innovate in a fast-paced environment
- Work with advanced analytics technologies
- Shape the future of retail pricing and promotions
- Join a team that values curiosity and creativity
Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions.
Key job responsibilities
Drive Strategic Insights
- Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy
- Develop advanced analytical metrics and models to uncover hidden business opportunities
- Present compelling insights and recommendations to senior leadership, influencing key decisions
Innovate with Advanced Analytics
- Harness the power of Large Language Models (LLMs) to generate business impacting insights
- Lead data-driven discussions with Product teams to accelerate growth
- Pioneer new methodologies in pricing and promotions analytics, setting industry standards
Build Scalable Solutions
- Design and implement automated reporting systems that drive efficiency
- Create intuitive dashboards that transform complex data into clear, actionable insights
- Continuously innovate and simplify tools and processes, maximizing impact
Optimize Data Infrastructure
- Enhance back-end data sources to improve accuracy and streamline operations
- Implement best practices in data quality and modeling
- Architect scalable data solutions that grow with the business
Influence Through Communication
- Craft compelling narratives from data, influencing key stakeholders
- Develop effective metrics that shape the future of Amazon's pricing and promotions
- Collaborate across teams to drive adoption of data-driven strategies
Lead Continuous Improvement
- Champion a culture of innovation, constantly seeking ways to improve and automate
- Stay at the forefront of BI trends, bringing developing technologies to the team
- Mentor colleagues in advanced analytics techniques, elevating team capabilities
In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company.
About the team
The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team.
Basic Qualifications
- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- 5+ years' experience developing key metrics and analytics that drive business decisions and actions
Preferred Qualifications
- 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 large-scale, complex datasets
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
Shape How Amazon Serves Millions Through Pricing and Promotions
Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally.
Your Impact
As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions.
What Makes You a Great Fit
- You're a hands-on engineer who thrives on solving complex problems
- You have an insatiable curiosity and love learning new technologies
- You see opportunities where others see challenges
- You build trust through delivery and customer obsession
- You bring an entrepreneurial spirit to everything you do
What You'll Create
- Automated analytics systems that drive pricing and promotions decisions
- Sophisticated anomaly detection tools
- Data-driven insights that shape business strategy
- Solutions that simplify complex problems
- Tools that enhance customer experience
Why This Role
- Direct impact on Amazon's core business decisions
- Opportunity to innovate in a fast-paced environment
- Work with advanced analytics technologies
- Shape the future of retail pricing and promotions
- Join a team that values curiosity and creativity
Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions.
Key job responsibilities
Drive Strategic Insights
- Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy
- Develop advanced analytical metrics and models to uncover hidden business opportunities
- Present compelling insights and recommendations to senior leadership, influencing key decisions
Innovate with Advanced Analytics
- Harness the power of Large Language Models (LLMs) to generate business impacting insights
- Lead data-driven discussions with Product teams to accelerate growth
- Pioneer new methodologies in pricing and promotions analytics, setting industry standards
Build Scalable Solutions
- Design and implement automated reporting systems that drive efficiency
- Create intuitive dashboards that transform complex data into clear, actionable insights
- Continuously innovate and simplify tools and processes, maximizing impact
Optimize Data Infrastructure
- Enhance back-end data sources to improve accuracy and streamline operations
- Implement best practices in data quality and modeling
- Architect scalable data solutions that grow with the business
Influence Through Communication
- Craft compelling narratives from data, influencing key stakeholders
- Develop effective metrics that shape the future of Amazon's pricing and promotions
- Collaborate across teams to drive adoption of data-driven strategies
Lead Continuous Improvement
- Champion a culture of innovation, constantly seeking ways to improve and automate
- Stay at the forefront of BI trends, bringing developing technologies to the team
- Mentor colleagues in advanced analytics techniques, elevating team capabilities
In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company.
About the team
The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team.
Basic Qualifications
- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- 5+ years' experience developing key metrics and analytics that drive business decisions and actions
Preferred Qualifications
- 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 large-scale, complex datasets
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
This advertiser has chosen not to accept applicants from your region.
3
Business Intelligence Engineer, P2 Science, Data, and Insights
Vancouver, British Columbia
Amazon
Posted today
Job Viewed
Job Description
Description
Shape How Amazon Serves Millions Through
Pricing and Promotions
Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally.
Your Impact
As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions.
What Makes You a Great Fit
- You're a hands-on engineer who thrives on solving complex problems
- You have an insatiable curiosity and love learning new technologies
- You see opportunities where others see challenges
- You build trust through delivery and customer obsession
- You bring an entrepreneurial spirit to everything you do
What You'll Create
- Automated analytics systems that drive pricing and promotions decisions
- Sophisticated anomaly detection tools
- Data-driven insights that shape business strategy
- Solutions that simplify complex problems
- Tools that enhance customer experience
Why This Role
- Direct impact on Amazon's core business decisions
- Opportunity to innovate in a fast-paced environment
- Work with advanced analytics technologies
- Shape the future of retail pricing and promotions
- Join a team that values curiosity and creativity
Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions.
Key job responsibilities
Drive Strategic Insights
- Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy
- Develop advanced analytical metrics and models to uncover hidden business opportunities
- Present compelling insights and recommendations to senior leadership, influencing key decisions
Innovate with Advanced Analytics
- Harness the power of Large Language Models (LLMs) to generate business impacting insights
- Lead data-driven discussions with Product teams to accelerate growth
- Pioneer new methodologies in pricing and promotions analytics, setting industry standards
Build Scalable Solutions
- Design and implement automated reporting systems that drive efficiency
- Create intuitive dashboards that transform complex data into clear, actionable insights
- Continuously innovate and simplify tools and processes, maximizing impact
Optimize Data Infrastructure
- Enhance back-end data sources to improve accuracy and streamline operations
- Implement best practices in data quality and modeling
- Architect scalable data solutions that grow with the business
Influence Through Communication
- Craft compelling narratives from data, influencing key stakeholders
- Develop effective metrics that shape the future of Amazon's pricing and promotions
- Collaborate across teams to drive adoption of data-driven strategies
Lead Continuous Improvement
- Champion a culture of innovation, constantly seeking ways to improve and automate
- Stay at the forefront of BI trends, bringing developing technologies to the team
- Mentor colleagues in advanced analytics techniques, elevating team capabilities
In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company.
About the team
The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience working as a BIE in a technology company
- 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors Degree
Preferred Qualifications
- 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 large-scale, 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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
Shape How Amazon Serves Millions Through
Pricing and Promotions
Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally.
Your Impact
As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions.
What Makes You a Great Fit
- You're a hands-on engineer who thrives on solving complex problems
- You have an insatiable curiosity and love learning new technologies
- You see opportunities where others see challenges
- You build trust through delivery and customer obsession
- You bring an entrepreneurial spirit to everything you do
What You'll Create
- Automated analytics systems that drive pricing and promotions decisions
- Sophisticated anomaly detection tools
- Data-driven insights that shape business strategy
- Solutions that simplify complex problems
- Tools that enhance customer experience
Why This Role
- Direct impact on Amazon's core business decisions
- Opportunity to innovate in a fast-paced environment
- Work with advanced analytics technologies
- Shape the future of retail pricing and promotions
- Join a team that values curiosity and creativity
Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions.
Key job responsibilities
Drive Strategic Insights
- Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy
- Develop advanced analytical metrics and models to uncover hidden business opportunities
- Present compelling insights and recommendations to senior leadership, influencing key decisions
Innovate with Advanced Analytics
- Harness the power of Large Language Models (LLMs) to generate business impacting insights
- Lead data-driven discussions with Product teams to accelerate growth
- Pioneer new methodologies in pricing and promotions analytics, setting industry standards
Build Scalable Solutions
- Design and implement automated reporting systems that drive efficiency
- Create intuitive dashboards that transform complex data into clear, actionable insights
- Continuously innovate and simplify tools and processes, maximizing impact
Optimize Data Infrastructure
- Enhance back-end data sources to improve accuracy and streamline operations
- Implement best practices in data quality and modeling
- Architect scalable data solutions that grow with the business
Influence Through Communication
- Craft compelling narratives from data, influencing key stakeholders
- Develop effective metrics that shape the future of Amazon's pricing and promotions
- Collaborate across teams to drive adoption of data-driven strategies
Lead Continuous Improvement
- Champion a culture of innovation, constantly seeking ways to improve and automate
- Stay at the forefront of BI trends, bringing developing technologies to the team
- Mentor colleagues in advanced analytics techniques, elevating team capabilities
In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company.
About the team
The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience working as a BIE in a technology company
- 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors Degree
Preferred Qualifications
- 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 large-scale, 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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
This advertiser has chosen not to accept applicants from your region.
4
Business Intelligence Engineer, P2 Science, Data, and Insights
Vancouver, British Columbia
Amazon
Posted today
Job Viewed
Job Description
Description
Shape How Amazon Serves Millions Through
Pricing and Promotions
Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally.
Your Impact
As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions.
What Makes You a Great Fit
- You're a hands-on engineer who thrives on solving complex problems
- You have an insatiable curiosity and love learning new technologies
- You see opportunities where others see challenges
- You build trust through delivery and customer obsession
- You bring an entrepreneurial spirit to everything you do
What You'll Create
- Automated analytics systems that drive pricing and promotions decisions
- Sophisticated anomaly detection tools
- Data-driven insights that shape business strategy
- Solutions that simplify complex problems
- Tools that enhance customer experience
Why This Role
- Direct impact on Amazon's core business decisions
- Opportunity to innovate in a fast-paced environment
- Work with advanced analytics technologies
- Shape the future of retail pricing and promotions
- Join a team that values curiosity and creativity
Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions.
Key job responsibilities
Drive Strategic Insights
- Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy
- Develop advanced analytical metrics and models to uncover hidden business opportunities
- Present compelling insights and recommendations to senior leadership, influencing key decisions
Innovate with Advanced Analytics
- Harness the power of Large Language Models (LLMs) to generate business impacting insights
- Lead data-driven discussions with Product teams to accelerate growth
- Pioneer new methodologies in pricing and promotions analytics, setting industry standards
Build Scalable Solutions
- Design and implement automated reporting systems that drive efficiency
- Create intuitive dashboards that transform complex data into clear, actionable insights
- Continuously innovate and simplify tools and processes, maximizing impact
Optimize Data Infrastructure
- Enhance back-end data sources to improve accuracy and streamline operations
- Implement best practices in data quality and modeling
- Architect scalable data solutions that grow with the business
Influence Through Communication
- Craft compelling narratives from data, influencing key stakeholders
- Develop effective metrics that shape the future of Amazon's pricing and promotions
- Collaborate across teams to drive adoption of data-driven strategies
Lead Continuous Improvement
- Champion a culture of innovation, constantly seeking ways to improve and automate
- Stay at the forefront of BI trends, bringing developing technologies to the team
- Mentor colleagues in advanced analytics techniques, elevating team capabilities
In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company.
About the team
The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience working as a BIE in a technology company
- 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors Degree
Preferred Qualifications
- 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 large-scale, 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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
Shape How Amazon Serves Millions Through
Pricing and Promotions
Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally.
Your Impact
As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions.
What Makes You a Great Fit
- You're a hands-on engineer who thrives on solving complex problems
- You have an insatiable curiosity and love learning new technologies
- You see opportunities where others see challenges
- You build trust through delivery and customer obsession
- You bring an entrepreneurial spirit to everything you do
What You'll Create
- Automated analytics systems that drive pricing and promotions decisions
- Sophisticated anomaly detection tools
- Data-driven insights that shape business strategy
- Solutions that simplify complex problems
- Tools that enhance customer experience
Why This Role
- Direct impact on Amazon's core business decisions
- Opportunity to innovate in a fast-paced environment
- Work with advanced analytics technologies
- Shape the future of retail pricing and promotions
- Join a team that values curiosity and creativity
Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions.
Key job responsibilities
Drive Strategic Insights
- Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy
- Develop advanced analytical metrics and models to uncover hidden business opportunities
- Present compelling insights and recommendations to senior leadership, influencing key decisions
Innovate with Advanced Analytics
- Harness the power of Large Language Models (LLMs) to generate business impacting insights
- Lead data-driven discussions with Product teams to accelerate growth
- Pioneer new methodologies in pricing and promotions analytics, setting industry standards
Build Scalable Solutions
- Design and implement automated reporting systems that drive efficiency
- Create intuitive dashboards that transform complex data into clear, actionable insights
- Continuously innovate and simplify tools and processes, maximizing impact
Optimize Data Infrastructure
- Enhance back-end data sources to improve accuracy and streamline operations
- Implement best practices in data quality and modeling
- Architect scalable data solutions that grow with the business
Influence Through Communication
- Craft compelling narratives from data, influencing key stakeholders
- Develop effective metrics that shape the future of Amazon's pricing and promotions
- Collaborate across teams to drive adoption of data-driven strategies
Lead Continuous Improvement
- Champion a culture of innovation, constantly seeking ways to improve and automate
- Stay at the forefront of BI trends, bringing developing technologies to the team
- Mentor colleagues in advanced analytics techniques, elevating team capabilities
In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company.
About the team
The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience working as a BIE in a technology company
- 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors Degree
Preferred Qualifications
- 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 large-scale, 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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
This advertiser has chosen not to accept applicants from your region.
5
Business Intelligence Engineer, P2 Science, Data, and Insights
Vancouver, British Columbia
Amazon
Posted today
Job Viewed
Job Description
Description
Shape How Amazon Serves Millions Through
Pricing and Promotions
Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally.
Your Impact
As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions.
What Makes You a Great Fit
- You're a hands-on engineer who thrives on solving complex problems
- You have an insatiable curiosity and love learning new technologies
- You see opportunities where others see challenges
- You build trust through delivery and customer obsession
- You bring an entrepreneurial spirit to everything you do
What You'll Create
- Automated analytics systems that drive pricing and promotions decisions
- Sophisticated anomaly detection tools
- Data-driven insights that shape business strategy
- Solutions that simplify complex problems
- Tools that enhance customer experience
Why This Role
- Direct impact on Amazon's core business decisions
- Opportunity to innovate in a fast-paced environment
- Work with advanced analytics technologies
- Shape the future of retail pricing and promotions
- Join a team that values curiosity and creativity
Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions.
Key job responsibilities
Key job responsibilities
Drive Strategic Insights
- Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy
- Develop advanced analytical metrics and models to uncover hidden business opportunities
- Present compelling insights and recommendations to senior leadership, influencing key decisions
Innovate with Advanced Analytics
- Harness the power of Large Language Models (LLMs) to generate business impacting insights
- Lead data-driven discussions with Product teams to accelerate growth
- Pioneer new methodologies in pricing and promotions analytics, setting industry standards
Build Scalable Solutions
- Design and implement automated reporting systems that drive efficiency
- Create intuitive dashboards that transform complex data into clear, actionable insights
- Continuously innovate and simplify tools and processes, maximizing impact
Optimize Data Infrastructure
- Enhance back-end data sources to improve accuracy and streamline operations
- Implement best practices in data quality and modeling
- Architect scalable data solutions that grow with the business
Influence Through Communication
- Craft compelling narratives from data, influencing key stakeholders
- Develop effective metrics that shape the future of Amazon's pricing and promotions
- Collaborate across teams to drive adoption of data-driven strategies
Lead Continuous Improvement
- Champion a culture of innovation, constantly seeking ways to improve and automate
- Stay at the forefront of BI trends, bringing developing technologies to the team
- Mentor colleagues in advanced analytics techniques, elevating team capabilities
In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company.
About the team
The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience working as a BIE in a technology company
- 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors Degree
Preferred Qualifications
- 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 large-scale, 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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
Shape How Amazon Serves Millions Through
Pricing and Promotions
Ready to transform how customers experience Amazon? Join our Pricing & Promotions Science, Data, and Insights team, where your analytical expertise will directly influence pricing and promotions decisions that impact millions of customers globally.
Your Impact
As a Business Intelligence Engineer, you'll be at the heart of Amazon's data-driven culture, building automated analytics tools that power intelligent pricing and promotions decisions. Your insights will shape strategy, drive customer satisfaction, and influence business growth across one of Amazon's most critical functions.
What Makes You a Great Fit
- You're a hands-on engineer who thrives on solving complex problems
- You have an insatiable curiosity and love learning new technologies
- You see opportunities where others see challenges
- You build trust through delivery and customer obsession
- You bring an entrepreneurial spirit to everything you do
What You'll Create
- Automated analytics systems that drive pricing and promotions decisions
- Sophisticated anomaly detection tools
- Data-driven insights that shape business strategy
- Solutions that simplify complex problems
- Tools that enhance customer experience
Why This Role
- Direct impact on Amazon's core business decisions
- Opportunity to innovate in a fast-paced environment
- Work with advanced analytics technologies
- Shape the future of retail pricing and promotions
- Join a team that values curiosity and creativity
Transform data into decisions that matter. Join us in making Amazon the most customer-centric company through intelligent pricing solutions.
Key job responsibilities
Key job responsibilities
Drive Strategic Insights
- Spearhead business intelligence initiatives that directly impact Amazon's pricing and promotions strategy
- Develop advanced analytical metrics and models to uncover hidden business opportunities
- Present compelling insights and recommendations to senior leadership, influencing key decisions
Innovate with Advanced Analytics
- Harness the power of Large Language Models (LLMs) to generate business impacting insights
- Lead data-driven discussions with Product teams to accelerate growth
- Pioneer new methodologies in pricing and promotions analytics, setting industry standards
Build Scalable Solutions
- Design and implement automated reporting systems that drive efficiency
- Create intuitive dashboards that transform complex data into clear, actionable insights
- Continuously innovate and simplify tools and processes, maximizing impact
Optimize Data Infrastructure
- Enhance back-end data sources to improve accuracy and streamline operations
- Implement best practices in data quality and modeling
- Architect scalable data solutions that grow with the business
Influence Through Communication
- Craft compelling narratives from data, influencing key stakeholders
- Develop effective metrics that shape the future of Amazon's pricing and promotions
- Collaborate across teams to drive adoption of data-driven strategies
Lead Continuous Improvement
- Champion a culture of innovation, constantly seeking ways to improve and automate
- Stay at the forefront of BI trends, bringing developing technologies to the team
- Mentor colleagues in advanced analytics techniques, elevating team capabilities
In this role, you'll be at the forefront of shaping how Amazon prices and promotes products globally. Your analytical expertise will directly impact customer experience and business growth, making you a key player in Amazon's mission to be Earth's most customer-centric company.
About the team
The Pricing and Promotions (P2) Science, Data and Insights team is at the forefront of Amazon's data revolution, orchestrating a sophisticated ecosystem with hundreds of PBs of data and thousands of active datasets that empower business leaders to create exceptional customer experiences through data-driven pricing and promotional strategies. Our team combines deep engineering expertise with business acumen to manage mission-critical data and insights that influence billions in revenue decisions, while pioneering innovative approaches that transform how Amazon understands customer behavior and market dynamics. Our strength comes from the diverse perspectives and backgrounds of our team members, who bring unique problem-solving approaches to these complex challenges. We're currently implementing an ambitious three-year transformation strategy that will fundamentally reshape how Amazon makes pricing and promotional decisions, focusing on intelligent automation and proactive insights that drive business outcomes. Beyond managing science, data, and insights, we're true strategic partners who translate complex information into actionable intelligence that shapes Amazon's direction across global marketplaces. If you're passionate about solving complex business problems at massive scale while working in a collaborative culture that values both analytical rigor and business impact, you'll find compelling opportunities to grow and make a meaningful difference on our team.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience working as a BIE in a technology company
- 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors Degree
Preferred Qualifications
- 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 large-scale, 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 you're applying in isn't listed, please contact your Recruiting Partner.
The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
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6
Machine Learning Engineer
Vancouver, British Columbia
Spring Financial Inc.
Posted today
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Job Description
Job Description
Salary: $100,000-$25,000+ yearly salary + benefits (See below for more details)
About us:
Spring Financial is revolutionizing financial access for Canadians, providing smart credit-building, mortgage, and lending solutions. Millions struggle with high-interest debt and limited financial optionswere here to change that.
As one of Canadas fastest-growing fintech companies, annually we help 1 million customers explore their financing options with easeonline, via text, or over the phone. Our dynamic, innovative team thrives on collaboration, growth, and making a real impact.
To learn more about our products please visit our website here:
NOTE: This is a full-time, permanent, hybrid position in downtown Vancouver, with 3 set days in the office and 2 WFH.
Job Overview:
As a Machine Learning Engineer II, you independently design, build, and maintain machine learning systems that deliver impact for our customers and business. You are responsible for deploying reliable, scalable solutions from credit scoring models to intelligent automation and LLM-powered features. You work across the stack to connect ML systems with real user value.
You own end-to-end workflows: from data ingestion and transformation to model training, validation, and online inference. You actively contribute to model quality, observability, and performance optimization. You also help standardize development practices, CI/CD, and deployment tooling for ML systems.
You are expected to integrate modern AI techniques including LLM APIs, embeddings, and generative workflows where appropriate, and help evaluate how they can enhance products and operations. You use AI development tools to accelerate delivery and improve testing and debugging. You also build and maintain automated data pipelines and model services, working across real-time and batch systems.
You work closely with product managers, data scientists, and business stakeholders to clarify problems, evaluate feasibility, and align technical solutions with strategic outcomes. You are a key contributor to the evolution of Springs ML platform and culture.
What youll do:
- Own development of production-grade ML and AI systems from data to deployment.
- Build automated pipelines for training, feature engineering, and model serving.
- Use AI tools to improve development speed and integrate AI capabilities (e.g. LLMs) into products.
- Optimize systems for performance, latency, and cost.
- Collaborate with cross-functional stakeholders to scope projects and communicate results.
- Monitor, retrain, and improve models based on feedback and system metrics.
What You Should Already Have:
- Experience deploying machine learning models into production systems.
- Proficiency in Python and tools such as scikit-learn, TensorFlow, PyTorch, or HuggingFace.
- Strong understanding of model lifecycle, MLOps, and data pipeline design.
- Skills in inference optimization.
- Ability to collaborate with data, product, and business teams on impactful ML features.
- Experience with testing, monitoring, and CI/CD for ML systems.
- Know-hows on cost/benefit analysis for different ML solutions, e.g. Lambda vs. Sagemaker Inference, OpenAI vs. xAI API.
- Comfortable working with AI technologies (LLMs, embeddings, etc.) in applied settings.
What We Will Give You:
- Competitive annual salary ranging from 100,000 to 125,000+ , reflective of experience and impact.
- Comprehensive benefits package, including extended health, dental, and vision coverage with 100% of monthly premiums covered by the Spring.
- GRSP matching program to support your long-term financial goals.
- Transit-Friendly Employer (Transit allowance).
- A modern, collaborative workspace in the heart of downtown Vancouver.
- Ongoing career growth opportunities and the chance to help shape Spring Financials technology strategy and team culture.
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Please note : Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone.
Thank you for your interest! We appreciate your time and look forward to reviewing your application!
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7
AI - Machine Learning Specialist
Richmond, British Columbia
QA Consultants Inc.
Posted today
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Job Description
What We’re Looking For:
Must-Haves:
ALTEN Canada fosters a dynamic and collaborative work environment where team members are empowered to unleash their full potential. We believe in investing in our talent, offering stimulating experiences, and supporting professional growth and development at every turn.
As part of our commitment to our team members, we offer a comprehensive benefits package including
ALTEN CANADA is committed to promoting diversity, equity, and inclusion. We strive to provide a work environment where every individual feels welcomed, valued, and respected, allowing them to thrive to their full potential. This includes our dedication to offer accessibility measures to those who require them. Should you require any accommodation during our recruitment process, please reach out to us.
Job Description
About ALTEN:
In just three decades, ALTEN has emerged as a global leader in Research and Development, Engineering, Information Technology Services, Life Sciences, and Network Services. Our footprint spans across 30 countries, with over 60,000 consultants driving innovation and technical excellence. Trusted by industry giants, we have become synonymous with pioneering solutions and unwavering expertise.
ALTEN CANADA , a proud subsidiary of ALTEN headquartered in France, is committed to serving the Canadian market. With local offices in Montreal and Toronto, we bring our global expertise to the forefront of Canadian innovation.
At ALTEN CANADA , our consultants thrive on tackling complex and highly technical projects across a diverse range of industries. From Manufacturing to Information Systems, IT Automation to Life Sciences, Energy to Automotive, Rail and Transportation to Telecommunications, Aerospace and Defense, our commitment to excellence knows no bounds.
Role : AI – Machine Learning Specialist
Locations: North York, Toronto or Halifax, NS or Richmond, BC | Hybrid (3 days onsite from any of the locations)
Start Date: ASAP
Contract Duration: 1 year (extendable) or option for Full time
Clearances Required: CGP & Reliability
About the Role
Join a client, where AI is becoming central to mission. Client is leveraging satellite infrastructure to deliver real-time Earth observation services—from monitoring fragile ecosystems to tracking northern ice floes and shipping routes. Client’s team blends scientific and engineering expertise to develop cutting-edge algorithms that interpret diverse data types: images, sound, video, and text.
What You’ll Do
- Develop novel machine learning algorithms to interpret geospatial and multisource data
- Apply statistical analysis to validate model outputs
- Integrate complex algorithms into existing codebases
- Document technical performance and algorithmic design
- Mentor junior team members
What We’re Looking For:
Must-Haves:
- Machine Learning and/or Deep Learning
- Statistical and Probabilistic Analysis
- Python and C++ Development
- Experience with LLMs and Generative AI
- Collaborative mindset
- Strong communication and mentoring abilities
ALTEN Canada fosters a dynamic and collaborative work environment where team members are empowered to unleash their full potential. We believe in investing in our talent, offering stimulating experiences, and supporting professional growth and development at every turn.
As part of our commitment to our team members, we offer a comprehensive benefits package including
- Collective Insurance & RRSP
- Corporate Discounts
- 4 weeks of vacation
- Numerous corporate activities.
- Personalized professional development plans
ALTEN CANADA is committed to promoting diversity, equity, and inclusion. We strive to provide a work environment where every individual feels welcomed, valued, and respected, allowing them to thrive to their full potential. This includes our dedication to offer accessibility measures to those who require them. Should you require any accommodation during our recruitment process, please reach out to us.
This advertiser has chosen not to accept applicants from your region.
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