Supply Chain Data Analyst, AR NPI - STL

Basic qualifications for an Supply Chain Data Analyst at Amazon focus on both educational background and practical experience. Candidates typically need a Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Engineering, or Computer Science. The role requires a minimum of 2 years of professional experience in data analysis or business intelligence, with demonstrated expertise in handling large datasets.

Technical proficiency is essential, particularly in SQL for data manipulation and at least one programming language like Python or R. Advanced Excel skills are mandatory, including expertise in pivot tables, VLOOKUPs, and macros. Experience with business intelligence tools such as Tableau or Power BI is highly valued.

Strong analytical and problem-solving abilities are crucial, along with excellent communication skills for presenting complex data insights to diverse audiences. While deep supply chain knowledge is preferred, it's not always mandatory as long as candidates show aptitude for learning industry processes and metrics.

The ideal candidate should be adaptable, willing to learn new technologies, and capable of working effectively in cross-functional teams. Given the dynamic nature of Amazon Robotics, flexibility and the ability to thrive in a fast-paced environment are essential traits. The role emphasizes both independent analytical capability and strong collaborative skills to drive data-driven decision-making across the organization.
Preferred qualifications for a Supply Chain Data Analyst at Amazon Robotics emphasize a blend of technical expertise, soft skills, and industry knowledge. Candidates with advanced education in quantitative fields and/or substantial experience in robotics or automation analytics are highly valued. We welcome applicants with diverse backgrounds who can demonstrate strong analytical skills and relevant industry knowledge. Proficiency in AWS services, machine learning algorithms, and statistical modeling is desirable, as is familiarity with agile methodologies.

Exceptional communication skills are crucial, including the ability to translate complex technical concepts for diverse audiences and present effectively to senior leadership. Strong documentation and technical writing abilities are essential. Problem-solving skills should be exemplary, with a proven track record of tackling ambiguous, large-scale challenges and implementing innovative solutions.

Leadership potential is important, demonstrated through mentoring experience, driving data-driven cultural change, and owning end-to-end projects. The ideal candidate should be adept at building cross-functional relationships and influencing without direct authority.

Industry knowledge, including understanding of robotics principles, warehouse operations, and supply chain optimization, is highly advantageous. Experience with quality control systems and metrics in manufacturing or logistics environments is a plus.

Successful candidates demonstrate a combination of analytical capabilities, collaborative skills, and customer obsession while thriving in our fast-paced environment. We value individuals who can use data to solve complex problems, work effectively across teams, and deliver results that raise the bar for our customers.

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.
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.