Poshmark Latest Recruitment drive for Data Analyst Intern role , Recent passout must apply Internship

Poshmark Latest Recruitment drive for Data Analyst Intern role , Recent passout must apply . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Apply All Active Superset Hiring For Freshers

About Company

Poshmark is a leading fashion resale marketplace powered by a vibrant, highly engaged community of buyers and sellers and real-time social experiences. Designed to make online selling fun, more social and easier than ever, Poshmark empowers its sellers to turn their closet into a thriving business and share their style with the world. Since its founding in 2011, Poshmark has grown its community to over 130 million users and generated over $10 billion in GMV, helping sellers realize billions in earnings, delighting buyers with deals and one-of-a-kind items, and building a more sustainable future for fashion.

Job Overview

Poshmark is the largest community marketplace for fashion where anyone can buy, sell, and share their personal style. With millions of shoppers and seller stylists, Poshmark brings together a vibrant community every day to express themselves and share their love of fashion.

Roles and Responsibilities

• Collaborate closely with stakeholders to understand their requirements, identify challenges, and translate them into clear, actionable analytics requirements.
• Provide data-driven insights that lead to actionable business recommendations in a simple, clear, and compelling manner.
• Monitor existing metrics, analyze data, and work with internal teams to identify areas for improvement and growth opportunities.
• Conduct exploratory data analysis to uncover trends, patterns, correlations, and insights.
• Develop or refine key metrics and performance indicators to evaluate business performance, and partner with the data engineering team to implement the necessary data collection processes.
• Work independently, demonstrate creativity, and deliver quick, effective results while maintaining a strong team-player attitude.
• Collaborate effectively with cross-functional teams, applying best practices from other teams, and consistently aim for high-quality deliverables.
• Maintain comprehensive documentation to track key findings, trends, and growth opportunities.
• Perform thorough QA to ensure data quality and integrity, following standard procedures for reporting and resolving data issues in collaboration with the appropriate data teams.