Business Intel Engineer III Customer eXperience Impressions
Business Intel Engineer III Customer eXperience Impressions
Posted on :
01-05-2025
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1 Vacancy
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Job Description
Amazons Customer eXperience Impressions (CXI) team is hiring a Business Intelligence Engineer (BIE) to build the analytical systems that measure detect and explain shifts in customer behavior. This role will focus on developing data products and metrics that quantify how defects (availability placement and delivery speed etc) impact customer decisions and design scalable data products that surface these insights in real time and ensure Amazons most senior leaders have a precise understanding of how customer friction translates into lost demand.
CXI operates at the intersection of customer experience and supply chain optimization. As part of Supply Chain Optimization Technology (SCOT) the teams data infrastructure captures signals from every stage of the shopping journeysearch detail page and repeat purchase interactionsto measure when and why customers hesitate abandon their carts etc. The BIE will transform these signals into structured analytics to enable Amazon to diagnose customer experience defects with high precision and determine where intervention is necessary.
Unlike traditional retail where demand signals rely on completed purchases we capture the full spectrum of customer intent including unconverted shopping impressions. These impressions act as a leading indicator of demand revealing friction points before they manifest as revenue declines or infrequent visits. The BIE will build the measurement mechanism that connect these early signals to downstream business impact to ensure that Amazon not only detects defects but understands when and how to act on them.
Key job responsibilities
As a BIE on the CXI team you will need to understand what information is valuable to your internal customers and work with product engineering and science teams to design products that are necessary to extract business insights. You will be responsible for developing the analytical systems that detect when defects in the Amazon shopping experience require intervention measure the cost of inaction and assess the precision and recall of intervention strategies. This BIE will support senior leadership reporting on shifts in customer behavior to enable Amazon to quantify the downstream effects of friction caused by controllable defects.
CXI captures highdimensional signals from billions of shopping interactions tracking how customer intent evolves in response to defects. The BIE will develop the analytical pipelines that surface these patterns to ensure realtime defect detection achieves high recall while minimizing false positives that lead to unnecessary interventions. They will define decision thresholds for action integrating statistical confidence measures that distinguish between recoverable demand loss and shifts that persist regardless of intervention.
This role requires direct collaboration with applied scientists engineers and product teams to establish scalable evaluation frameworks. The BIE will support the development of ML models to quantify the marginal impact of intervention timing calibrating precisionrecall tradeoffs in defect correction strategies. They will assess the causal relationship between detected defects and observed customer behavior to ensure that interventions target highimpact opportunities while avoiding noise.
Beyond intervention mechanics the BIE will design SVPlevel reporting that quantifies systemic shifts in customer engagement. They will track realtime changes in visittopurchase rates model the elasticity of customer response to defect resolution and generate predictive insights that allow Amazon to anticipate conversion risks before they manifest at scale.
The BIEs work will provide the foundation for CXIs next phase of customer experience optimization. By formalizing the measurement of intervention effectiveness they will define the thresholds at which automated actions outperform passive correction.
This is a highly visible role and will require regular interaction and communication with senior leaders. You must have experience and capability to document your work for technical as well as nontechnical audiences. Excellent written and verbal communication skills is a requirement.
5 years of SQL experience
Experience programming to extract transform and clean large (multiTB) data sets
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
5 years of professional or military experience
Knowledge of data warehousing and data modeling
Experience with AWS technologies
Experience with theory and practice of information retrieval data science machine learning and data mining
Experience with theory and practice of design of experiments and statistical analysis of results
Experience working directly with business stakeholders to translate between data and business needs
Experience managing analyzing and communicating results to senior leadership
Masters degree in statistics data science or an equivalent quantitative field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117300/year in our lowest geographic market up to $202800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
CXI operates at the intersection of customer experience and supply chain optimization. As part of Supply Chain Optimization Technology (SCOT) the teams data infrastructure captures signals from every stage of the shopping journeysearch detail page and repeat purchase interactionsto measure when and why customers hesitate abandon their carts etc. The BIE will transform these signals into structured analytics to enable Amazon to diagnose customer experience defects with high precision and determine where intervention is necessary.
Unlike traditional retail where demand signals rely on completed purchases we capture the full spectrum of customer intent including unconverted shopping impressions. These impressions act as a leading indicator of demand revealing friction points before they manifest as revenue declines or infrequent visits. The BIE will build the measurement mechanism that connect these early signals to downstream business impact to ensure that Amazon not only detects defects but understands when and how to act on them.
Key job responsibilities
As a BIE on the CXI team you will need to understand what information is valuable to your internal customers and work with product engineering and science teams to design products that are necessary to extract business insights. You will be responsible for developing the analytical systems that detect when defects in the Amazon shopping experience require intervention measure the cost of inaction and assess the precision and recall of intervention strategies. This BIE will support senior leadership reporting on shifts in customer behavior to enable Amazon to quantify the downstream effects of friction caused by controllable defects.
CXI captures highdimensional signals from billions of shopping interactions tracking how customer intent evolves in response to defects. The BIE will develop the analytical pipelines that surface these patterns to ensure realtime defect detection achieves high recall while minimizing false positives that lead to unnecessary interventions. They will define decision thresholds for action integrating statistical confidence measures that distinguish between recoverable demand loss and shifts that persist regardless of intervention.
This role requires direct collaboration with applied scientists engineers and product teams to establish scalable evaluation frameworks. The BIE will support the development of ML models to quantify the marginal impact of intervention timing calibrating precisionrecall tradeoffs in defect correction strategies. They will assess the causal relationship between detected defects and observed customer behavior to ensure that interventions target highimpact opportunities while avoiding noise.
Beyond intervention mechanics the BIE will design SVPlevel reporting that quantifies systemic shifts in customer engagement. They will track realtime changes in visittopurchase rates model the elasticity of customer response to defect resolution and generate predictive insights that allow Amazon to anticipate conversion risks before they manifest at scale.
The BIEs work will provide the foundation for CXIs next phase of customer experience optimization. By formalizing the measurement of intervention effectiveness they will define the thresholds at which automated actions outperform passive correction.
This is a highly visible role and will require regular interaction and communication with senior leaders. You must have experience and capability to document your work for technical as well as nontechnical audiences. Excellent written and verbal communication skills is a requirement.
5 years of SQL experience
Experience programming to extract transform and clean large (multiTB) data sets
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
5 years of professional or military experience
Knowledge of data warehousing and data modeling
Experience with AWS technologies
Experience with theory and practice of information retrieval data science machine learning and data mining
Experience with theory and practice of design of experiments and statistical analysis of results
Experience working directly with business stakeholders to translate between data and business needs
Experience managing analyzing and communicating results to senior leadership
Masters degree in statistics data science or an equivalent quantitative field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117300/year in our lowest geographic market up to $202800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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