Business Intelligence Engineer Defect Elimination Analytics
Business Intelligence Engineer Defect Elimination Analytics
Posted on :
13-04-2025
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1 Vacancy
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Job Description
How often have you had an opportunity to be a member of a team that is tasked with solving customer needs through disruptive and innovative technology Everyone on the team needs to be entrepreneurial wear many hats and work in a fastpaced ambiguous and highly collaborative environment thats more startup than big company. If this sounds intriguing then wed like to talk to you about a role on the Amazon Defect Elimination Analytics team. This team drives Amazon towards a defectfree customer experience by building technology that rapidly identifies defects associates them with the information required to resolve the root cause and prioritizes the multitude of improvement opportunities based on business and customer needs. To continue expanding our defect elimination program we seek a passionate resultsoriented Business Intelligence Engineer (BIE).
The Business Intelligence Engineer will partner with Software Developers Data Engineers Research Scientists Program & Product Managers to provide insights on customer feedback create key performance indicators for our products and assist in feature engineering and model development. The ideal candidate has strong business judgment organization skills backbone experience measuring product performance and collaborates well with with product owners to answer key questions. The operating environment is fast paced and dynamic however has a strong team spirited and welcoming culture. To thrive you must be detail oriented enthusiastic and flexible in return you will gain tremendous experience with the latest in big data technologies as well as exposure to statistical and Natural Language modeling through collaboration with scientist on global issue detection models and development.
Key job responsibilities
Design develop and maintain scaled automated userfriendly systems reports dashboards etc.
Partner with operations/business teams/economist/ML teams to consult develop and implement KPIs automated reporting/process solutions and data infrastructure improvements to meet business needs.
Develop the endtoend automation of pipelines for applications and ML models
Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets.
Serve as liaison with Business and technical teams to achieve project objectives requiring data gathering problem solving modeling and communication of insights and recommendations.
A day in the life
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!Benefits Summary:
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
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 writing complex SQL queries
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Bachelors Degree
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 largescale complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
The Business Intelligence Engineer will partner with Software Developers Data Engineers Research Scientists Program & Product Managers to provide insights on customer feedback create key performance indicators for our products and assist in feature engineering and model development. The ideal candidate has strong business judgment organization skills backbone experience measuring product performance and collaborates well with with product owners to answer key questions. The operating environment is fast paced and dynamic however has a strong team spirited and welcoming culture. To thrive you must be detail oriented enthusiastic and flexible in return you will gain tremendous experience with the latest in big data technologies as well as exposure to statistical and Natural Language modeling through collaboration with scientist on global issue detection models and development.
Key job responsibilities
Design develop and maintain scaled automated userfriendly systems reports dashboards etc.
Partner with operations/business teams/economist/ML teams to consult develop and implement KPIs automated reporting/process solutions and data infrastructure improvements to meet business needs.
Develop the endtoend automation of pipelines for applications and ML models
Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets.
Serve as liaison with Business and technical teams to achieve project objectives requiring data gathering problem solving modeling and communication of insights and recommendations.
A day in the life
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!Benefits Summary:
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
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 writing complex SQL queries
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Bachelors Degree
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 largescale complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Employment Type
Full-Time
Key Skills
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