Supply Chain Analyst - RMA and Process Automation

Required Skills & Experience

• 3-5 years of experience in supply chain operations
• Experience within a consumer electronics environment supporting retail partners.
• Hands-on experience managing: RMAs, Chargebacks, Returns operations
• Demonstrated experience utilizing AI tools to improve workflows, automate processes, or increase operational efficiency.
• Strong analytical and problem-solving skills.
• Experience building dashboards, reporting, or workflow automation solutions. -Proactive, forward-thinking mindset with a passion for process improvement.
• Experience using Claude Code, ChatGPT, or other AI development and automation tools.

Job Description

We are seeking an Operations & Process Automation Analyst to support global post-sales operations while driving automation and process improvement initiatives through AI. This individual will play a critical role in managing day-to-day operational workflows, including returns, RMAs, and chargebacks, while also identifying opportunities to streamline and automate processes using modern AI tools.

This is an ideal opportunity for someone who thrives in operations but is equally excited about leveraging AI to improve efficiency, eliminate manual work, and build scalable solutions.

Responsibilities:

Operations Management (50-60%) Own and manage day-to-day operational processes related to: Global returns, Return Merchandise Authorizations (RMAs), Chargebacks, Retail partner support and issue resolution

• Partner with cross-functional teams including Sales, Operations, Supply Chain, Finance, and Customer Experience to ensure timely resolution of operational issues.
• Investigate and resolve discrepancies related to returns, deductions, and chargeback claims.
• Monitor operational performance metrics and identify areas for improvement.
• Ensure operational processes are executed accurately and efficiently while maintaining a high level of customer and partner satisfaction.

Process Automation & AI Initiatives (40-50%)

• Identify opportunities to automate manual workflows and operational processes.
• Utilize AI tools and technologies to improve operational efficiency, reporting, and decision-making.
• Build dashboards, reporting tools, and workflow automations using AI-enabled platforms, including tools such as Claude Code and similar technologies.
• Partner with stakeholders to redesign inefficient processes and create scalable solutions.
• Develop proactive recommendations for leveraging AI across operations, rather than simply maintaining existing processes. Drive a culture of continuous improvement by challenging the status quo and introducing innovative solutions.