You will lead a team of Business Intelligence Engineers who work cross-functionally with the AR support teams throughout the organization to deliver projects aimed at improving the performance of robotic automation technology in Amazon's network of warehouses. In 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 latest robotic technology. You will collaborate with a variety of stakeholders in AR Global Safety & Support (GSS) to define and deliver world class analytics tools and insights to shape the robotic technology landscape.
Key job responsibilities
*Manage a team of Business Intelligence Engineers and Data Engineers through career development, technical development and project work.
* Contribute to the scoping, development, and maintenance of ongoing analysis and dashboards to drive key business decisions
* Develop and deliver whitepapers and/or ad-hoc analyses in high-ambiguity environments, making use of both quantitative and qualitative information to inform actionable insights
* Recognize and adopt best practices in reporting and analysis: data integrity, A/B test design, A/B test analysis, validation, and documentation
* Clearly communicate and present dashboards and analytical findings to stakeholders to support data-driven decision making
* Create efficient SQL scripts to connect and manipulate disparate data sources to support dashboards and deep-dive analysis
* Seek out new data sources and propose development of data strategy for the team with different data streams and metrics that impact the AR system
About the team
The P&I team is dedicated to developing and scaling analytics products and services that provide deeper insights into the AR network's performance and its underlying causal factors. By leveraging advanced analytics, automation, and deep domain expertise, we drive efficiencies, mitigate risks, and ensure robust data integrity across all AR support functions. Our outcomes empower service and support teams across a global network of AR sites with predictive insights, proactive network monitoring, and comprehensive risk assessments—enabling an “Always Ready” support model. We develop core data pipelines and infrastructure solutions to enable supportability and ensure availability of data-driven insights to our customers.- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
- Experience leading and influencing the BI strategy of your team or organization- 4+ years of working with very large data warehousing environment experience
- 3+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
- Experience in delivering results managing a business intelligence or analytics team, including employee development and performance management
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
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
