11 Data Analysts jobs in Richmond
Sr Business Intelligence Engineer , Intellectual Property Protection
Vancouver, British Columbia
Amazon
Posted 9 days ago
Job Viewed
Job Description
Description
Are you passionate about building business insights that drive decision making at highest levels? Do you want to be part of fast-paced, ambiguous environment and contribute to Intellectual Property Protections charter?
As a Sr. BIE, from Day 1, you will be challenged with solving complex and ambiguous data and metric problems , creating datasets, reports and dashboards to metadata modeling, pipeline monitoring, and more.
What are we looking for?
- You have a track record of end-to-end ownership and successfully delivering results in fast-paced and dynamic business environment.
- You live and breathe data. You are passionate about finding root causes, trends, and patterns and how they impact business. You use data to support your ideas and drive actionable outcomes, and draw inferences and conclusions based on data.
- You should be able to work on complex initiatives, deal with ambiguity and work with senior leaders
- You have extensive experience working with extremely large data sets and are comfortable with various tools and technologies to consume, extract and transform data.
- You have business communication skills to be able to work with product owners to understand key business questions, and are able to build solutions (analysis/ reports / dashboards) that enable product owners to answer those questions quickly and accurately.
- You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
Key job responsibilities
- Be highly data driven, resourceful, customer-obsessed and team oriented
- You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide.
- You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.
- You will develop dashboards that provide insights into the health and state of the business, create analytics solutions to drive deep dives, and determine ways to measure impact.
- You will provide insights and analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state.
- You will interact with internal program, product, engineering, data & science owners to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets.
- You will own the design, creation, and management of extremely large datasets.
- You will be responsible to tune query performance against large and complex data sets.
- You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices.
- Be able to clearly communicate strategic findings and recommendations
- Translate complex, technical concepts into business terms and vice versa
About the team
The IPP team is a part of Amazon's Selling Partner Services (SPS) organization. The team's vision is to use data provided by Brands in the Brand Registry to prevent Brands eligible for protections worldwide from ever seeing an ASIN on Amazon that has invalid data (e.g. misuse of trademarks, copyright) associated with their Brand on Amazon. We strive to make Amazon the best way for Selling Partners to operate their businesses by protecting their intellectual property while reaching customers locally and globally.
Basic Qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Knowledge of data warehousing and data modeling
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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 passionate about building business insights that drive decision making at highest levels? Do you want to be part of fast-paced, ambiguous environment and contribute to Intellectual Property Protections charter?
As a Sr. BIE, from Day 1, you will be challenged with solving complex and ambiguous data and metric problems , creating datasets, reports and dashboards to metadata modeling, pipeline monitoring, and more.
What are we looking for?
- You have a track record of end-to-end ownership and successfully delivering results in fast-paced and dynamic business environment.
- You live and breathe data. You are passionate about finding root causes, trends, and patterns and how they impact business. You use data to support your ideas and drive actionable outcomes, and draw inferences and conclusions based on data.
- You should be able to work on complex initiatives, deal with ambiguity and work with senior leaders
- You have extensive experience working with extremely large data sets and are comfortable with various tools and technologies to consume, extract and transform data.
- You have business communication skills to be able to work with product owners to understand key business questions, and are able to build solutions (analysis/ reports / dashboards) that enable product owners to answer those questions quickly and accurately.
- You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
Key job responsibilities
- Be highly data driven, resourceful, customer-obsessed and team oriented
- You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide.
- You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.
- You will develop dashboards that provide insights into the health and state of the business, create analytics solutions to drive deep dives, and determine ways to measure impact.
- You will provide insights and analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state.
- You will interact with internal program, product, engineering, data & science owners to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets.
- You will own the design, creation, and management of extremely large datasets.
- You will be responsible to tune query performance against large and complex data sets.
- You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices.
- Be able to clearly communicate strategic findings and recommendations
- Translate complex, technical concepts into business terms and vice versa
About the team
The IPP team is a part of Amazon's Selling Partner Services (SPS) organization. The team's vision is to use data provided by Brands in the Brand Registry to prevent Brands eligible for protections worldwide from ever seeing an ASIN on Amazon that has invalid data (e.g. misuse of trademarks, copyright) associated with their Brand on Amazon. We strive to make Amazon the best way for Selling Partners to operate their businesses by protecting their intellectual property while reaching customers locally and globally.
Basic Qualifications
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Knowledge of data warehousing and data modeling
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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
Business Intelligence Engineer, P2 Science, Data, and Insights
Vancouver, British Columbia
Amazon
Posted 7 days ago
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.
1
Business Intelligence Engineer, P2 Science, Data, and Insights
Vancouver, British Columbia
Amazon
Posted 7 days ago
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.
2
Business Intelligence Engineer, P2 Science, Data, and Insights
Vancouver, British Columbia
Amazon
Posted 7 days ago
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.
3
Business Intelligence Engineer, P2 Science, Data, and Insights
Vancouver, British Columbia
Amazon
Posted 7 days ago
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.
This advertiser has chosen not to accept applicants from your region.
4
Senior Business Intelligence Engineer, P2 Science, Data, and Insights, P2 Science, Data, and Insi...
Vancouver, British Columbia
Amazon
Posted 23 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.
5
Marketing data analyst
Surrey, British Columbia
Nanak Foods]
Posted 16 days ago
Job Viewed
Job Description
Overview Languages Employment groups - Help
English
Education Experience On siteWork must be completed at the physical location. There is no option to work remotely.
Work setting Responsibilities Tasks Supervision Experience and specialization Computer and technology knowledge Area of work experience Additional information Work conditions and physical capabilities Personal suitability Benefits Health benefits Financial benefits Other benefits Employment groupsThis employer promotes equal employment opportunities for all job applicants, including those self-identifying as a member of these groups:
Support for newcomers and refugees
- Assists with immediate settlement needs of newcomers and/or refugees (for example: housing, transportation, storage, childcare, winter clothing, etc.)
- Supports newcomers and/or refugees with foreign credential recognition
Support for youths
- Offers on-the-job training tailored to youth
- Offers mentorship, coaching and/or networking opportunities for youth
Support for Indigenous people
- Offers mentorship, coaching and/or networking opportunities for Indigenous workers
- Provides cultural competency training and/or awareness training to all employees to create a welcoming work environment for Indigenous workers
Membership in a group is not a job requirement. All interested applicants are strongly encouraged to apply.
This employer is committed to providing all job applicants with equal employment opportunities, and promoting inclusion. If you self-identify as a member of any employment group, you are encouraged to indicate it in your application.
This advertiser has chosen not to accept applicants from your region.
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6
Game Data Analyst
New Westminster, British Columbia
Offworld industries
Posted 1 day ago
Job Viewed
Job Description
Job Description
Job Description
Salary:
About Offworld Industries:
Offworld Industries Ltd. (Offworld) is the independent studio behind the successful military first-person shooter game, Squad. Offworld was formed in 2014 by more than 15 developers who had worked together on the well-known Project Reality mod for Battlefield 2. The founding purpose of the team was to bring a standalone successor of this acclaimed mod to market and build a game development studio and a livelihood from that foundation.
Fast forward to 2025, Offworld has almost 140 employees and is rapidly growing. We have been expanding the studio into serving as a publisher supporting mods and have released our newest title, "Starship Troopers: Extermination", a 16-player PvE first-person shooter based on the 1997 cult-classic film.
At Offworld Industries, we're passionate about creating immersive and engaging gaming experiences. We're looking for a seasoned and insightfulGame Data Analystto lead our analytical efforts. In this role, you will act as a strategic partner, transforming complex datasets into actionable strategies that will directly shape game development, player experience, and business growth. If you are a data-driven leader who loves games and enjoys mentoring others, we want to hear from you!
Job Duties:
- Analyze & Interpret:Dive deep into game and player data to evaluate performance, identify key trends, and uncover risks and opportunities for improvement
- Communicate Insights:Prepare and present thorough reports and compelling presentations for various stakeholders, translating complex findings into clear, actionable recommendations that drive decision-making
- Query & Extract Data:Skillfully write and manage queries using SQLand KQLto extract the data necessary for robust analysis
- Build & Maintain Dashboards:Design, develop, and maintain live dashboards using tools likeTableauandAmplitudeto provide teams with real-time insights for project monitoring
- Collaborate Across Teams:Partner closely with game developers, back-end engineers, and other teams to define data requirements and ensure our data collection supports high-quality analysis
- Improve Processes:Contribute to improving our development standards, analytical methodologies, and internal processes. You'll also participate in peer code reviews to learn, teach, and advocate for high coding standards, particularly withPython(Pandas, Scikit-learn)
What you bring to Offworld:
- 3+ years of professional experiencein a data analyst or similar data-focused role
- Strong proficiency in writing and optimizing complex queries withSQL. Experience withKQLis a major plus
- Hands-on experience with data visualization and analytics platforms like Tableau, Amplitude,Excel, orKNIME
- Proficiency in Pythonfor data analysis, specifically using libraries like Pandasand Scikit-learn.
- Excellent communication skills with a proven ability to explain complex statistical concepts to non-technical audiences
- A strong business sense with a track record of connecting data insights to business objectives and financial measures
Nice-to-Haves
- A degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
- Experience working withAPIsto extract or integrate data
- Knowledge ofRegular Expressions (Regexp)for data cleaning and manipulation
- A genuine passion for video games and an understanding of the gaming industry
This is a 6-month full-time fixed-termposition, with the potential to become permanent.The typical salary range for this position is $60,000-80,000 CAD per year and is subject to change. The final agreed upon salary is based on work location and may vary depending on factors such as job-related knowledge, skills, and experience.
This role offers:
- Monthly social events
- 3 weeks of paid vacation per year and 2 weeks of paid studio shutdown over the December holiday period
If you meet the above qualifications, and Offworld sounds like the kind of company you want to be a part of, please apply now with acover letterand a copy of yourresume.
Offworld Industries is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ancestry, place of origin, colour, ethnic origin, language, citizenship, creed, religion, gender, sexual orientation, age, marital status, physical and/or mental handicap, financial ability or any other characteristic protected by law.
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Data Analyst, In-line Inspection (ILI)
Vancouver, British Columbia
DarkVision
Posted 23 days ago
Job Viewed
Job Description
Your Job
We are seeking a Data Analyst for our Pipeline Inline Inspection (ILI) Data Analysis team.
DarkVision uses state-of-the-art proprietary acoustic imaging technologies to provide asset inspection services to industrial clients. This ultrasound system gathers immense datasets and identifies defects as small as a few millimeters. Automated processing, measurement, classification, and visualization algorithms are crucial due to the time-consuming and inconsistent nature of manual processing.
In this role, you will interpret ultrasound data obtained from DarkVision's Pipeline Inline-Inspection (ILI) tool to produce accurate and reliable inspection reports, essential for the safe operation of oil and gas pipelines. You will be responsible for identifying and annotating features within ultrasound imaging data, creating visualizations, and generating client reports.
Our experts from across the machine vision, imaging, computer graphics, and data analytics sectors have worked to create the most technologically advanced platform for pipeline and downhole diagnostics. Come join our team as we embark on the exciting journey ahead to become the global leader in industrial imaging.
***This position is full-time on-site in our HQ in North Vancouver, BC. While this position will start in our Research & Innovation team, you will eventually transition to a dedicated ILI Data Analysis position within the Data Team. All applicants must be opened to shift work.
Our Team
Our Data Analysts utilize 3D data visualization software and human-in-the-loop machine learning processes to meticulously analyze ultrasound datasets. The outputs of these analyses result in critical insights that enable our clients to make data-informed decisions on the operations and maintenance of multi-million-dollar energy infrastructure assets.
What You Will Do
- Inspect ultrasound data to identify and annotate features and defects
- Create 3D visualizations and renderings from raw ultrasound data
- Generate and edit detailed reports for client delivery
- Help define processes and training for the ILI data analysis team
Opportunities To Learn and Work On:
- Contribute to process automation and client reporting
- Become a Subject Matter Expert (SME) in pipeline Non-Destructive Evaluation/Testing (NDE/NDT) integrity inspection
Who You Are (Basic Qualifications)
- Experience in at least one of:
- Ultrasound- or acoustics-based asset integrity data management or analysis
- Pipeline inspection services and data analysis
- Upstream oil and gas production or processing
- Experience in quality control processes and preparing client-facing reports
What Will Put You Ahead
- Experience in NDE/NDT
- Experience in the Oil & Gas industry
- Experience gathering, evaluating, and investigating image/computer vision data, particularly ultrasound imaging
- Experience working with spatial or GIS data
- Programming experience in Python
- Demonstrated ability as a self-starter and independent contributor, adept at efficiently and proactively managing new tasks
- Advanced English communication skills (written and verbal)
General Salary Range
For this role, we anticipate paying $30 to 38 per hour. This role is eligible for variable pay, issued as a monetary bonus or in another form.
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Who We Are
DarkVision Technologies Inc. is a Canada-based tech company disrupting the industrial imaging market since 2013. We have created the world's most advanced acoustic-based imaging platform. We are packaging it into multiple new product lines, revolutionizing how our clients quantify and visualize the integrity of their critical assets.
Backed by Koch Industries, one of the world's largest privately held companies, DarkVision's team of Mechanical, Skunkworks, Electrical, Software, and Machine Learning Engineers is rapidly expanding to meet the demand for the company's current and upcoming products.
We allow employees to work on cutting-edge technologies that blend science with real-world applications. We invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging.
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
How to Apply
If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted.
We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage.
Successful candidates will be required to complete a criminal background check.
Keywords: ILI, in-line inspection, NDE, NDT, non-destructive testing, non-destructive evaluation, pipeline, integrity, well, logging, analysis, analyst, reporting, reports, ultrasound, ultrasonic, acoustic, 3D, computer vision, visualization, rendering, Python
#LI-JN1
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