Description
- 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
- 4+ years of working with very large data warehousing environment experience
- 10+ 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
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.
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
The ideal candidate is technically strong, highly analytical, and logical in decision-making, with proven experience leading teams. This role leads a team of Data Engineers, Business Analysts, and Business Intelligence Engineers to help solve problems faced by our customers, merchants and internal teams and provide deep insights in to our data.
Key job responsibilities
· Manage and develop BI team responsible for developing and maintaining high quality data infrastructures, dashboards, and reports
· Collaborate closely with peers in the JWO Science, BD, Tech and Operations teams to identify priorities and implement solutions
· Drive a culture of operational excellence, data quality, and continuous improvement
· Create and manage mechanisms to ensure BI team resources are devoted to solving the most impactful customer needs
· Continually leverage the latest tools and technologies to maximize the teams impact and efficiency
· Grow your team's capabilities through mentorship, training, and career development opportunities
· Provide clear guidance and updates to partners regarding BI team priorities
A day in the life
This role will work regularly with your peers in the Business Development, Science, Tech, and Operations teams to deeply understand the problems they are facing and identify where there are systemic issues to be solved with ongoing BI solutions.
You will help the team prioritize their body of work based on the most impactful work for the JWO organization overall and communicate these priorities to peers across the organization.
You'll be expected to provide facilitate support for emergent issues as they come up and ensure prompt responses to leadership.
About the team
Amazon’s Physical Stores team is transforming how customers shop through Just Walk Out (JWO) technology. We are looking for a Senior Supply Chain Manager based in India to support our US physical retail operations. This leader will own end-to-end supply chain initiatives, driving scalability, cost efficiency, and customer delight while working across global stakeholders.
- 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
- 4+ years of working with very large data warehousing environment experience
- 10+ 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
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.
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
The ideal candidate is technically strong, highly analytical, and logical in decision-making, with proven experience leading teams. This role leads a team of Data Engineers, Business Analysts, and Business Intelligence Engineers to help solve problems faced by our customers, merchants and internal teams and provide deep insights in to our data.
Key job responsibilities
· Manage and develop BI team responsible for developing and maintaining high quality data infrastructures, dashboards, and reports
· Collaborate closely with peers in the JWO Science, BD, Tech and Operations teams to identify priorities and implement solutions
· Drive a culture of operational excellence, data quality, and continuous improvement
· Create and manage mechanisms to ensure BI team resources are devoted to solving the most impactful customer needs
· Continually leverage the latest tools and technologies to maximize the teams impact and efficiency
· Grow your team's capabilities through mentorship, training, and career development opportunities
· Provide clear guidance and updates to partners regarding BI team priorities
A day in the life
This role will work regularly with your peers in the Business Development, Science, Tech, and Operations teams to deeply understand the problems they are facing and identify where there are systemic issues to be solved with ongoing BI solutions.
You will help the team prioritize their body of work based on the most impactful work for the JWO organization overall and communicate these priorities to peers across the organization.
You'll be expected to provide facilitate support for emergent issues as they come up and ensure prompt responses to leadership.
About the team
Amazon’s Physical Stores team is transforming how customers shop through Just Walk Out (JWO) technology. We are looking for a Senior Supply Chain Manager based in India to support our US physical retail operations. This leader will own end-to-end supply chain initiatives, driving scalability, cost efficiency, and customer delight while working across global stakeholders.
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