Vendor Management Assistant I

About the Role

Amazon's Translation Services team provides translation tools and solutions to support localization and translation needs across Amazon businesses. Translation Services Operations partners with internal teams to translate and deliver content for users of Amazon's tools and services globally, balancing quality, speed, and cost. This role is for a Vendor Management Assistant focusing on invoicing tasks within the Data Insights team, working closely with Invoicing Vendor Managers to maintain and optimize vendor payment operations. The position requires attention to detail, organizational skills, and the ability to work in an international, dynamic environment.

Key Responsibilities

• Own vendor communication related to payment inquiries, invoice discrepancies, and billing issues, ensuring timely and clear responses.
• Validate and approve vendor invoices according to established procedures and contract terms.
• Run pro-forma reports and share them with vendors on a regular cadence.
• Identify process gaps, recurring failure modes, and opportunities for automation in invoicing workflows.
• Support Invoicing Vendor Managers in data collection, reporting, reconciliation tasks, and escalation of unresolved payment issues.

Requirements & Tech Stack

• Fluency in English (speak, write, read) at C1 level or above.
• Excel with advanced proficiency (pivots, lookups, etc.).
• 6+ months of database administration experience, OR a Bachelor's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field.
• Experience pulling and reporting data from numerous databases using Excel, Access, SQL, and/or other data management systems.
• Strong analytical skills, attention to detail, and effective communication abilities.
• Experience with external customer interaction or communicating with a wide range of stakeholders.

Preferred Qualifications

• Experience in accounts receivable or account payable, or experience in financial modeling, P&L management or analysis.
• Knowledge of ERP systems (e.g., SAP, ORACLE, Coupa) in large organizations.
• Experience working with global teams and diverse partners.
• Knowledge of data analytics with tools such as Tableau, SQL, Quick-sight.