BIE, Performance & Insights, Amazon Robotics Performance & Insights
BIE, Performance & Insights, Amazon Robotics Performance & Insights
Posted on :
25-07-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
25-07-2025
Job Description
A seasoned data professional with a passion for delivering insightful and influential solutions to challenging and ambiguous problems. A practiced analyst who uses data engineering statistics data visualization and data science to influence decision making in cross-functional teams. We are seeking an individual who can think holistically through compound problems to understand how systems work together to define and execute projects which drive improvements to robotic architecture or design.
Key job responsibilities
You will work cross-functionally with the field support teams throughout the organization to deliver projects aimed at characterizing monitoring and improving the performance of new robotic automation technology across all of Amazons fulfillment and sortation this role you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of cutting-edge robotic technology. You will collaborate with Data Scientists Data Engineers and Program Managers to define and deliver world class analytics tools and insights to shape the robotic technology landscape.
About the team
The Performance Analytics and Field Insights (P&I) team at Amazon Robotics (AR) develops comprehensive analytics products and services that provide deep insights into the performance of ARs network and its causal factors. Leveraging data-driven approaches robotics expertise and operational knowledge this team develops methodologies to proactively identify network issues and provide recommendations to optimize system performance for all AR solutions and customers. This teams outcomes empower service and support teams with predictive insights proactive network monitoring capabilities and risk assessments to enable an Always Ready support approach.
- 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
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Ability to consume and manipulate large data sets to build streamlined research and have the ability to articulate its business impact
- Experienced with data visualization using Tableau or similar BI tools to create end-to-end dashboard solutions and reports which effectively convey results to a wide range of users
- 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 large-scale complex datasets
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with forecasting and statistical analysis
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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.
Key job responsibilities
You will work cross-functionally with the field support teams throughout the organization to deliver projects aimed at characterizing monitoring and improving the performance of new robotic automation technology across all of Amazons fulfillment and sortation this role you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of cutting-edge robotic technology. You will collaborate with Data Scientists Data Engineers and Program Managers to define and deliver world class analytics tools and insights to shape the robotic technology landscape.
About the team
The Performance Analytics and Field Insights (P&I) team at Amazon Robotics (AR) develops comprehensive analytics products and services that provide deep insights into the performance of ARs network and its causal factors. Leveraging data-driven approaches robotics expertise and operational knowledge this team develops methodologies to proactively identify network issues and provide recommendations to optimize system performance for all AR solutions and customers. This teams outcomes empower service and support teams with predictive insights proactive network monitoring capabilities and risk assessments to enable an Always Ready support approach.
- 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
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Ability to consume and manipulate large data sets to build streamlined research and have the ability to articulate its business impact
- Experienced with data visualization using Tableau or similar BI tools to create end-to-end dashboard solutions and reports which effectively convey results to a wide range of users
- 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 large-scale complex datasets
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- Experience with forecasting and statistical analysis
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
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
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
