About Fleek
Fleek is a B2B Marketplace for wholesale second-hand fashion. We enable resellers and retail stores to buy from vintage clothing suppliers worldwide.
We are backed by top Silicon Valley VCs such as Andreessen Horowitz (a16z), Y Combinator, and founders/CEOs of Depop, Shopify, and Postmates.
About The Team
Fleek is a diverse set of funky individuals with the single mission of helping sustainability and promoting circular fashion while building a beautiful product experience. Our 50+ people team comprises individuals from 7+ countries with experiences from Google, YC, Uber, Parthenon, Cambridge, Oxford, UC Berkeley, and more.
What does the team do?
The Data Analytics team at Fleek plays a critical role in driving data-driven decisions across the organization. The Data team partners with the Product, Business, and Operations departments to ensure that data is effectively used to enhance business performance, product development, and operational efficiency. As a Data Analyst in Fleek, you will be responsible for building and maintaining dashboards,
creating insightful reports, and providing in-depth analysis supporting strategic initiatives in the second-hand fashion marketplace.
What You’ll Do
- Conduct high-quality analysis to generate actionable insights that will drive business decisions and improve our B2B marketplace operations.
- Collaborate closely with Product Managers and Business teams to define goals, identify key metrics, and drive product features and releases.
- Build and maintain dashboards to track business performance, product adoption, and operational metrics specific to the second-hand fashion industry.
- Work with Data Engineering and partner teams to develop core data sets within our Data Warehouse and BI tools, ensuring they empower operational and exploratory analyses.
- Automate data extraction by creating denormalized tables or data marts based on the unique needs of the second-hand fashion marketplace.
- Design and develop compl
📌 Data Analyst (Bengaluru)
🏢 Joinfleek
📍 Bengaluru
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