Business Intelligence Engineer, Customer Service People Experience and Technology (CS PXT)
Business Intelligence Engineer, Customer Service People Experience and Technology (CS PXT)
Posted on :
09-05-2025
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1 Vacancy
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Job Description
As a Business Intelligence Engineer in PXT you will be instrumental in building and delivering robust analytics solutions that drive strategic workforce decisions. Youll work closely with HR business partners technology teams and stakeholders to transform complex workforce data into actionable insights that shape Amazons employee experience.
Key job responsibilities
Design and implement scalable reporting solutions and dashboards for key HR metrics and workforce analytics
Develop and maintain ETL pipelines for processing HR data from multiple sources
Create predictive models for workforce planning talent acquisition and employee engagement
Partner with stakeholders to understand business requirements and translate them into technical solutions
Build automated monitoring systems to ensure data quality and accuracy
Provide datadriven recommendations to support strategic HR initiatives
Work across PXT orgs to determine synergy of analytics reporting capabilities and reduce redundancy and manual reporting efforts
Scale reporting solutions and analytics to meet placement decisions (HRP CSA) as part of the site strategy initiative
Drive improvements to Clarity Quicksight Tableau reports to be realtime and provide actionable insights to our Field OPS and PXT partners
Provide analysis and entitlement calculation models to the Global Programs team for new ongoing and KTLO initiatives
Author new reports that have new models/insights for OPs/PXT work as part of the HRP centralization effort
About the team
When you join the Customer Service People eXperience and Technology (CS PXT) team youll be part of an engaging team of human resources professionals who collectively support the Worldwide Amazon Customer Service organization. Here youll work with global leaders to optimize people strategy and the employee experience leverage science and technology to grow internal capabilities and scale our business in a fair responsible way and engage employees to create fun diverse and inclusive teams. No matter your career path you will make a positive difference in the daily lives of Amazonians and will help shape the future of our business.
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.
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Knowledge of data warehousing and data modeling
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
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 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.
Key job responsibilities
Design and implement scalable reporting solutions and dashboards for key HR metrics and workforce analytics
Develop and maintain ETL pipelines for processing HR data from multiple sources
Create predictive models for workforce planning talent acquisition and employee engagement
Partner with stakeholders to understand business requirements and translate them into technical solutions
Build automated monitoring systems to ensure data quality and accuracy
Provide datadriven recommendations to support strategic HR initiatives
Work across PXT orgs to determine synergy of analytics reporting capabilities and reduce redundancy and manual reporting efforts
Scale reporting solutions and analytics to meet placement decisions (HRP CSA) as part of the site strategy initiative
Drive improvements to Clarity Quicksight Tableau reports to be realtime and provide actionable insights to our Field OPS and PXT partners
Provide analysis and entitlement calculation models to the Global Programs team for new ongoing and KTLO initiatives
Author new reports that have new models/insights for OPs/PXT work as part of the HRP centralization effort
About the team
When you join the Customer Service People eXperience and Technology (CS PXT) team youll be part of an engaging team of human resources professionals who collectively support the Worldwide Amazon Customer Service organization. Here youll work with global leaders to optimize people strategy and the employee experience leverage science and technology to grow internal capabilities and scale our business in a fair responsible way and engage employees to create fun diverse and inclusive teams. No matter your career path you will make a positive difference in the daily lives of Amazonians and will help shape the future of our business.
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.
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with AWS technologies
Knowledge of data warehousing and data modeling
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
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 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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