Job Description
We are seeking a Business & Process Improvement Analyst to support quality, process improvement, and business reporting initiatives across Amazon Key's operations. You will work on defined goals under the guidance of senior team members, contributing to process standardization, quality metrics analysis and business reporting. This role is ideal for someone analytically curious, comfortable leveraging AI tools, and eager to drive operational improvements at scale.
Key job responsibilities
Process Improvement (50%)
- Create and maintain SOPs and best practices for operational workflows across regions, ensuring consistency in process execution across EU, NA, JP, and AU. Document and share learnings to build institutional knowledge across the team
- Support the development of new metrics to measure operational effectiveness
- Propose data-driven actions to improve processes at scale
- Leverage AI tools to identify automation opportunities and streamline cross-functional processes
- Explore and pilot new tools or workflows that reduce manual effort and improve accuracy
Insights & Business Reporting (50%)
- Own recurring business reporting (bi-weekly updates, MBR inputs)
- Prepare materials for business reviews, communicating results clearly and concisely to senior stakeholders
- Define dashboard requirements and follow up on data validation with BI teams
- Maintain centralized documentation and reporting repositories
- Support ad hoc data analysis requests to inform business decisions
About the team
Amazon Key is a uniquely cross-functional team within Amazon, and often serves as the connective tissue between Smart Home/Devices, Logistics, Operations, and Retail/Shopping. We are the bridge between device management and physical services, and our team indexes highly on ownership and collaboration. We have lots of stakeholders, and we have relentlessly high standards for our high-visibility programs.
Basic Qualifications
- Experience defining requirements and using data and metrics to draw business insights
- Experience with written and verbal communication and presentation
- Experience using Microsoft Excel to manipulate and analyze large sets of data
- Eagerness to learn and apply AI tools to improve processes
- Collaborative mindset and ability to work across teams and time zones
Preferred Qualifications
- Master's degree in Business, Computer Engineering, Computer Science, Data Engineering, Economics, Finance, Engineering, Mathematics, Machine Learning, Science, Statistics, or Symbolic Systems
- Knowledge of SQL
- Experience in program management, logistics, operations, supply chain, transportation, or a related field
- Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages
- Experience in process design and documentation
- Experience working cross-functionally and across regions
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