BIE II - FBA Product Analytics
BIE II - FBA Product Analytics
Posted on :
12-04-2025
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1 Vacancy
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Job Description
At Amazon were working to be the most customercentric company on earth. To get there we need exceptionally talented bright and driven people. Over 2 million Sellers in 10 countries ship billions of products for sale on the Amazon Marketplace. To meet our sellers needs we are constantly innovating and building on new ideas. Fulfillment by Amazon (FBA) Inbound analytics and data science team partners with product team to optimize inbound supply chain by influencing right tradeoffs among cost speed and network capacity utilization.
FBA Product Analytics team is looking for an individual with excellent analysis and statistical skills deep knowledge of business intelligence solutions and the ability to work with product development and business teams. The successful candidate will have passion for data and analytics be a selfstarter comfortable with ambiguity with strong attention to detail.
Key job responsibilities
Develop business metrics and analysis to inform product strategy and influence key strategic initiatives.
Develop clear communications for recommended actions.
Establish selfservice automated reporting processes for tracking and diving deep into the data.
Partner with data engineers to establish new data pipelines and document logic for business metrics.
Use machine learning and statistical techniques to infer impact of product and policy decisions on business outcomes.
A day in the life
As a Business Intelligence Engineer you will help develop an analytic solution to drive deep dives provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information and will make it readily accessible to stakeholders worldwide. You will own the design creation and management of extremely large datasets. From Day 1 you will be challenged with a variety of tasks ranging from creating datasets reports dashboards to metadata modeling pipeline monitoring. You will interact with internal program and product owners and technical teams to gather requirements structure scalable and perform data solutions and gain a deep understanding of key datasets. You will design implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete actionable recommendations for business or product improvement.
About the team
Our benefits include:
Work on highimpact highvisibility projects that drive the experience for millions of customers.
The opportunity to use and learn stateoftheart data management solutions.
Excellent opportunities and ample support for career growth development and mentorship.
Competitive compensation including relocation support.
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 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
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
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.
FBA Product Analytics team is looking for an individual with excellent analysis and statistical skills deep knowledge of business intelligence solutions and the ability to work with product development and business teams. The successful candidate will have passion for data and analytics be a selfstarter comfortable with ambiguity with strong attention to detail.
Key job responsibilities
Develop business metrics and analysis to inform product strategy and influence key strategic initiatives.
Develop clear communications for recommended actions.
Establish selfservice automated reporting processes for tracking and diving deep into the data.
Partner with data engineers to establish new data pipelines and document logic for business metrics.
Use machine learning and statistical techniques to infer impact of product and policy decisions on business outcomes.
A day in the life
As a Business Intelligence Engineer you will help develop an analytic solution to drive deep dives provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information and will make it readily accessible to stakeholders worldwide. You will own the design creation and management of extremely large datasets. From Day 1 you will be challenged with a variety of tasks ranging from creating datasets reports dashboards to metadata modeling pipeline monitoring. You will interact with internal program and product owners and technical teams to gather requirements structure scalable and perform data solutions and gain a deep understanding of key datasets. You will design implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete actionable recommendations for business or product improvement.
About the team
Our benefits include:
Work on highimpact highvisibility projects that drive the experience for millions of customers.
The opportunity to use and learn stateoftheart data management solutions.
Excellent opportunities and ample support for career growth development and mentorship.
Competitive compensation including relocation support.
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 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
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
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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