Senior Business Intelligence Engineer, P2 Science, Data, and Insights, P2 Science, Data, and Insights
Job 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 teamThe 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.
Locations
- Canada, BC, Vancouver, Vancouver, BC, Canada
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
140,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 10+ years of professional or military experienceintermediate
- - 5+ years of SQL experienceintermediate
- - Experience with AWS technologiesintermediate
- - Experience programming to extract, transform and clean large (multi-TB) data setsintermediate
- - Experience with theory and practice of information retrieval, data science, machine learning and data miningintermediate
- - Experience in scripting for automation (e.g. Python) and advanced SQL skills.intermediate
- - Experience with theory and practice of design of experiments and statistical analysis of resultsintermediate
Required Qualifications
- - 10+ years of professional or military experience (experience, 10 years)
- - 5+ years of SQL experience (experience, 5 years)
- - Experience with AWS technologies (experience)
- - Experience programming to extract, transform and clean large (multi-TB) data sets (experience)
- - Experience with theory and practice of information retrieval, data science, machine learning and data mining (experience)
- - Experience in scripting for automation (e.g. Python) and advanced SQL skills. (experience)
- - Experience with theory and practice of design of experiments and statistical analysis of results (experience)
Preferred Qualifications
- - Experience working directly with business stakeholders to translate between data and business needs (experience)
- - Experience managing, analyzing and communicating results to senior leadership (experience)
- - Experience using AWS services such as EC2, S3, Glue, Redshift, QuickSight, Lookout, Bedrock, Lambda, Step functions and SageMaker. (experience)
- 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. (experience)
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.
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Tags & Categories
Senior Business Intelligence Engineer, P2 Science, Data, and Insights, P2 Science, Data, and Insights
Job 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 teamThe 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.
Locations
- Canada, BC, Vancouver, Vancouver, BC, Canada
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
140,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 10+ years of professional or military experienceintermediate
- - 5+ years of SQL experienceintermediate
- - Experience with AWS technologiesintermediate
- - Experience programming to extract, transform and clean large (multi-TB) data setsintermediate
- - Experience with theory and practice of information retrieval, data science, machine learning and data miningintermediate
- - Experience in scripting for automation (e.g. Python) and advanced SQL skills.intermediate
- - Experience with theory and practice of design of experiments and statistical analysis of resultsintermediate
Required Qualifications
- - 10+ years of professional or military experience (experience, 10 years)
- - 5+ years of SQL experience (experience, 5 years)
- - Experience with AWS technologies (experience)
- - Experience programming to extract, transform and clean large (multi-TB) data sets (experience)
- - Experience with theory and practice of information retrieval, data science, machine learning and data mining (experience)
- - Experience in scripting for automation (e.g. Python) and advanced SQL skills. (experience)
- - Experience with theory and practice of design of experiments and statistical analysis of results (experience)
Preferred Qualifications
- - Experience working directly with business stakeholders to translate between data and business needs (experience)
- - Experience managing, analyzing and communicating results to senior leadership (experience)
- - Experience using AWS services such as EC2, S3, Glue, Redshift, QuickSight, Lookout, Bedrock, Lambda, Step functions and SageMaker. (experience)
- 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. (experience)
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.