Associate - Projects

Position Overview:

We are seeking a Data Analyst – FPT & Return Experience to support analytics and insights for improving the return process and fraud reduction. The role involves working closely with cross-functional teams to monitor return metrics, identify fraud, identify inefficiencies, and provide actionable insights. The ideal candidate will have to be a self-starter, must have a strong analytical mindset, a passion for solving complex problems, and has the ability to work with large datasets with great ease..

Key Responsibilities:

• Develop and maintain analytical models to estimate monthly/annual return metrics and track AOP vs. actual performance.
• Analyze data to identify inefficiencies in current workflows and recommend data-backed solutions.
• Create visual dashboards and reports for easy consumption by stakeholders.
• Monitor return speed and identify areas for quality improvement in reverse logistics.
• Assist in identifying fraud patterns and inefficiencies within the return supply chain.
• Enable Returns reduction & Customer exchange reduction by providing actionable insights.
• Track key OKRs impacting seller experience and provide actionable insights to stakeholders.
• Regularly monitor,analyze and provide insights related to return metrics such as fraud, fraud rates, return speed, return rate, and customer feedback.
• Support automation of reports and dashboards to streamline data reporting processes.
• Provide data insights to help stakeholders improve return operations and fraud prevention processes.

Qualifications:

• Bachelor’s degree in a relevant field (e.g., Data Analytics, Statistics, Mathematics, Computer Science).
• 0-2 years of experience in data analytics or a related field.
• Proficiency in SQL, Python and Microsoft excel 
• Basic understanding of Python or R for data analysis (preferred but not mandatory).
• Strong analytical and problem-solving skills, with attention to detail.
• Good communication skills and the ability to collaborate with cross-functional teams.
• Eagerness to learn and grow in a fast-paced, data-driven environment.

Location:

• Bangalore, India