Supply Chain Data Analyst, AR NPI - STL

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to these questions and you'll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers experiences in ways we can't even image yet. We invent new improvements every day.

Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfilment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.

The Supply Chain Analyst will be a key partner responsible for driving significant analysis opportunities across Amazon Robotics Supply Chain. This role encompasses a range of responsibilities, including managing operational metrics, enhancing reporting systems, and providing insightful forecasting and analysis at product level. The ideal candidate will be strategic and analytical, able to handle a high degree of ambiguity, and be proactive on looking around the corner at capturing opportunities to expand services across the organization.

Key job responsibilities
Core Analytics:
• Execute operational reporting and conduct ad-hoc business analyses for leadership communication
• Develop evaluation frameworks for product cost improvement initiatives
• Create and maintain analytical models in cost, lead time and demand for business insights

Decision Support:
• Provide data-driven recommendations for strategic decisions
• Analyze end-to-end impact on systems and tools
• Present findings to senior management for future initiatives

Process Improvement:
• Identify and implement automation opportunities for manual processes
• Drive continuous improvement initiatives across the network
• Develop efficiency solutions based on data insights

Business Review Management:
• Lead data-driven business reviews with stakeholders
• Track and follow up on actionable items with business leaders
• Create and present performance metrics and KPIs

Cross-functional Collaboration:
• Partner with business leaders to implement recommended solutions
• Work with technical teams to automate reporting processes
• Coordinate with stakeholders to gather requirements and deliver insights

This role focuses on leveraging data analytics to drive business decisions, improve operational efficiency, and support strategic initiatives while maintaining strong stakeholder relationships.

A day in the life
Invent & Simplify, Bias for Action and Earns Trust - are the three key functional competencies that are needed to be successful in this role. This helps to demonstrate high Customer Obsession, taking ownership, dive deep in solving business problems with actional data and Deliver Results creating value.

Key functional skills are
Technical: SQL, Python, R for data analysis;
Advanced Excel (pivot tables, VBA); BI tools
Tableau/PowerBI)
Analytical: Cost, Lead time and Demand Data modeling; Process mapping & Root cause analysis
Business: Supply chain metrics; Project management; Business intelligence and Stakeholder communication

Key deliverable - Develop business intelligence dashboards for cost, lead time, demand which helps in tracking risks and opportunities to achieve financial targets on cost and lead time helping financial payback.

About the team
The team contains subject matter experts who have the passion to solve business problems. Single-threaded leaders they are wholly dedicated to solving one business problem, wakes up in the morning and worries just about that one thing, ensuring the initiative’s vision and goals are always at the forefront and is ready to escalate risks early. The team believes in developing efficient and accurate mechanisms for communicating forecast, and capacity requirements for new products to scale effectively. Finally actively support and foster a culture of inclusion.

Basic Qualifications

- Bachelor’s or Master’s degree
- Technical proficiency particularly in SQL for data manipulation and at least one programming language like Python or R
- Advanced Excel skills including expertise in pivot tables, VLOOKUPs, and macros
- Experience with business intelligence tools such as Tableau or Power BI

Preferred Qualifications

- Advanced education in quantitative fields and/or substantial experience in robotics or automation analytics
- Proficiency in AWS services, machine learning algorithms, and statistical modeling
- Strong documentation and technical writing abilities
- Industry knowledge, including understanding of robotics principles, warehouse operations, and supply chain optimization
- Experience with quality control systems and metrics in manufacturing or logistics environments is a plus



Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.