Return & Refund Project - Operations

Job Description

• Identify manual and repetitive processes across the Return & Refund team and lead automation initiatives within the project period to drive operational efficiency.
• Translate operational pain points into practical solutions, including automated scripts, models, or optimized workflows.
• Map end-to-end Return & Refund workflows to identify high-impact areas for AI application and drive its implementation.
• Build and prototype AI-powered tools and automations leveraging LLMs to deliver working solutions.
• Drive end-to-end project execution from initial scoping and stakeholder alignment to delivery, change management, and post-launch monitoring.
• Coordinate seamlessly with cross-functional teams (Tech, Business Intelligence, Operations) to ensure smooth integration and measurable business impact.
• Manage communication as a bridge between technical and non-technical stakeholders to align goals and fulfill core business needs.
• Analyze complex operational datasets using SQL, perform root cause analysis, and translate findings into actionable insights for project decisions.

• Bachelor's degree in a quantitative domain (Data Science, Statistics, Computer Science, Business Analytics, Engineering, or a related field).
• Minimum 2 year of experience in analytics, operations, process improvement, or project-based roles.
• Proficiency in SQL for data extraction, manipulation, and analysis; familiarity with Python or scripting languages is highly preferred.
• Knowledge of AI/ML concepts and practical experience in prototyping or building solutions with modern AI tools.
• Experience with Business Intelligence tools (such as Tableau, Power BI, or Looker) to visualize and translate data into insights.
• Strong ownership mindset with the ability to independently manage initiatives from ideation to final execution.
• Excellent problem-solving capabilities accompanied by meticulous attention to detail.
• Proven ability to communicate, collaborate, and manage stakeholders across technical and operational domains.
• Fluency in both English and Bahasa Indonesia for clear professional communication.