Amazon.com, Inc. (NASDAQ:AMZN), a Fortune 500 company based in Seattle, opened on the World Wide Web in July 1995 and today offers Earth's Biggest Selection. Amazon.com, Inc. seeks to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices. Today, we operate retail websites in nine countries, offering millions of products in more than 40 categories worldwide, and we still like to work hard, have fun and make history!
Amazon's Retail Business Services (RBS) team is looking for a Sr. Business Intelligence Manager role to drive data analytics and automation initiatives for selling partner experience and growth(SPEG) org. Objective of the Program is to deliver reporting and automation projects improving operation efficiency and productivity of SPEG org.
Data Analytics and Automation manager role is to deliver end to end automations leveraging in house automation platforms, SQL, reporting and analytics projects. The candidate in this role expected to convert the human intelligence to artificial intelligence or rules to constantly evolve the tech & Science based solutions which would benefit Opex optimization and selling partner experience and growth. The Analytics and Automation Manager oversees the effective use of data analytics and automation technologies to improve business performance. They work closely with data scientists, developers and operations teams to understand process issues and implement automated solutions using tools like machine learning and robotic process automation. Key responsibilities include managing projects to develop analytical models and automated workflows, documenting requirements, tracking metrics to measure impact, and training teams on new systems. The goal is to surface valuable insights, streamline operations, minimize human error and boost productivity through data-driven and automated strategies.
Key job responsibilities
• Develop and implement strategies to increase the automation coverage of use cases in StoreOps org.
• Convert human intelligence into artificial intelligence or rules-based solutions to constantly evolve technology and science-based solutions that optimize Operational Expense.
• Oversee the effective use of data analytics and automation technologies to improve business performance.
• Collaborate closely with business analysts, automation experts and operations teams to identify process issues and implement automated solutions.
• Manage projects to develop analytical models and automated workflows, documenting requirements and tracking metrics to measure the impact of implemented solutions.
• Train teams on new systems and technologies to ensure effective utilization and adoption of data-driven and automated strategies.
• Continuously identify opportunities to surface valuable insights, streamline operations, minimize human error, and boost productivity through data-driven and automated approaches
A day in the life
The Analytics and Automation Manager oversees the effective use of data analytics and automation technologies to improve business performance and build hands off the wheel automations. They work closely with business analysts, automation experts and operations teams to understand process issues and implement automated solutions using in house LLM platform and tools like machine learning and robotic process automation. Key responsibilities include managing projects to develop analytical models and automated workflows, documenting requirements, tracking metrics to measure impact, and training teams on new systems. The goal is to surface valuable insights, streamline operations, minimize human error and boost productivity through data-driven and automation solutions.
About the team
The RBS ARTS Program is dedicated to provide data and automation support for the Retail Efficiency and Paid Services business and tech teams. There is ample growth opportunity in this role for someone who exhibits Ownership and Insist on the Highest Standards, and has engineering and operational best practices experience. The program emphasizes a technology-driven mindset to deliver scalable solutions that optimize operations and drive continuous improvements- 10+ years of business intelligence and analytics experience
- 7+ 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
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