Data Analyst - Seller Experience

1 - 3 years

2 - 5 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

Type : Internship
Duration: 6 months
Position Overview:

We are seeking a Data Analyst - 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, 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 have the ability to work with large datasets with great ease

Key Responsibilities:.
  • Analyze data to identify inefficiencies in current workflows and recommend data-backed solutions.
  • Regularly monitor, analyze and provide insights related to return metrics such as fraud, fraud
  • rates, return speed, return rate, and customer feedback.
  • Assist in identifying fraud patterns and inefficiencies within the return supply chain.
  • Create visual dashboards and reports for easy consumption by stakeholders.
  • Monitor return speed and identify areas for quality improvement in reverse logistics.
  • Track key OKRs impacting seller experience and provide actionable insights to stakeholders.
  • 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.

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E-commerce, Fashion Retail

Mumbai

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