Business Intelligence Engineer Amazon Customer Service
Business Intelligence Engineer Amazon Customer Service
Posted on :
30-04-2025
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1 Vacancy
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Job Description
As a Business Intelligence Engineer (BIE) on the Defect Elimination Analytics team you will play a critical role in shaping the future of customer satisfaction by leveraging data to rapidly identify defects understand their root causes and prioritize improvement opportunities based on real business and customer needs. This is an exceptional opportunity to be part of a fastpaced innovative environment that operates with the agility of a startup within the scale of Amazon.
You will be a part of a team where your entrepreneurial spirit is valued and you have the chance to wear many hats contributing to diverse aspects of our defect elimination program. You will thrive in our highly collaborative environment working alongside talented Software Developers Data Engineers Research Scientists and Program & Product Managers. Our culture is collaborative and welcoming offering a supportive space for you to grow and make a significant impact.
In this role you will:
Design develop and maintain scalable automated and userfriendly systems reports and dashboards that provide crucial insights into customer feedback and product performance.
Partner directly with operations business economist and Machine Learning (ML) teams to define and implement Key Performance Indicators (KPIs) develop automated reporting and process solutions and drive data infrastructure improvements that directly address business needs. This includes the opportunity to influence product development and answer key strategic questions in collaboration with product owners.
Be at the forefront of developing endtoend automation of data pipelines that power critical applications and ML models.
Apply your strong analytical skills to extract meaningful insights and learnings from large and complex datasets turning raw data into actionable intelligence.
Serve as a key liaison between business and technical teams utilizing your data gathering problemsolving modeling and communication skills to achieve project objectives and drive impactful recommendations.
Gain valuable experience with advanced big data technologies and collaborate with scientists on global issue detection models involving statistical machine learning and AI techniques.
Key job responsibilities
Strong business judgment and organizational skills to effectively prioritize and manage complex projects.
Ability to confidently voice your opinions and drive initiatives.
Proven experience measuring product performance and translating data into actionable insights.
Excellent collaboration skills with a proven ability to partner effectively with product owners and crossfunctional teams.
A detailoriented enthusiastic and flexible approach to thrive in our fastpaced and dynamic environment.
This role offers a unique opportunity to make a tangible difference in the customer experience at Amazon working with advanced technologies and a supportive highperforming team.
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!
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
2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. ttest Chisquared)
Experience with scripting language (e.g. Python Java or R)
Experience applying basic statistical methods (e.g. regression) to difficult business problems
Bachelors degree
Masters degree or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis corelation analysis
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.
You will be a part of a team where your entrepreneurial spirit is valued and you have the chance to wear many hats contributing to diverse aspects of our defect elimination program. You will thrive in our highly collaborative environment working alongside talented Software Developers Data Engineers Research Scientists and Program & Product Managers. Our culture is collaborative and welcoming offering a supportive space for you to grow and make a significant impact.
In this role you will:
Design develop and maintain scalable automated and userfriendly systems reports and dashboards that provide crucial insights into customer feedback and product performance.
Partner directly with operations business economist and Machine Learning (ML) teams to define and implement Key Performance Indicators (KPIs) develop automated reporting and process solutions and drive data infrastructure improvements that directly address business needs. This includes the opportunity to influence product development and answer key strategic questions in collaboration with product owners.
Be at the forefront of developing endtoend automation of data pipelines that power critical applications and ML models.
Apply your strong analytical skills to extract meaningful insights and learnings from large and complex datasets turning raw data into actionable intelligence.
Serve as a key liaison between business and technical teams utilizing your data gathering problemsolving modeling and communication skills to achieve project objectives and drive impactful recommendations.
Gain valuable experience with advanced big data technologies and collaborate with scientists on global issue detection models involving statistical machine learning and AI techniques.
Key job responsibilities
Strong business judgment and organizational skills to effectively prioritize and manage complex projects.
Ability to confidently voice your opinions and drive initiatives.
Proven experience measuring product performance and translating data into actionable insights.
Excellent collaboration skills with a proven ability to partner effectively with product owners and crossfunctional teams.
A detailoriented enthusiastic and flexible approach to thrive in our fastpaced and dynamic environment.
This role offers a unique opportunity to make a tangible difference in the customer experience at Amazon working with advanced technologies and a supportive highperforming team.
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!
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
2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. ttest Chisquared)
Experience with scripting language (e.g. Python Java or R)
Experience applying basic statistical methods (e.g. regression) to difficult business problems
Bachelors degree
Masters degree or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis corelation analysis
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.
Employment Type
Full-Time
Key Skills
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