thredUP is the world’s largest fashion resale platform, inspiring a new generation to think secondhand first. The company has spent the past 10 years reinventing resale, building a marketplace and infrastructure now poised to power the $50B resale economy and usher in a more sustainable fashion future. Millions of consumers use thredUP as the easiest way to sell their clothes and shop over 35,000 brands at up to 90% off — online, in stores or via “try-before-you-buy” Goody Boxes.

Backed by world-class investors, thredUP designed a resale engine that has redistributed nearly 100 million unique garments from closets across America and is now powering resale for the broader fashion industry via its Resale-As-A-Service (RAAS) platform.

How You Will Make an Impact

As Data Analyst, you'll employ your data storytelling skills to collaborate with both product and business teams, delivering insights and guiding key decisions. Reporting to the Senior Manager of Data Science, your focus will be on guiding product and marketing features that will bring delight to our customers. As an integral member of our data science and analytics team, you'll have ownership over substantial portions of our customer experience data. Your insightful analyses will be key inputs guiding product and business strategy.

In This Role You’ll Get To:

• Oversee the entire lifecycle of projects related to customer experience and product data.
• Conduct in-depth data analyses and create visual presentations to guide decision-making across the business.
• Design, configure, and analyze the impact of experiments aimed at driving business growth, and provide insights into customer behavior.
• Work with cross-functional teams to enhance the customer experience, develop new features, and design high-impact promotional events.
• Unearth insights from our vast repository of raw data and provide actionable guidance based on these findings to drive strategic decisions.
• Steer our retention efforts by delivering customer-centric insights that inform strategy.
• Foster a collaborative learning environment by sharing your knowledge, providing guidance, disseminating best practices, and improving processes.

What We’re Looking For:

• 3+ years of relevant experience as part of a product analytics or data science team.
• Fluent in SQL, advanced proficiency with Excel / Google Sheets, and professional experience with a programming language such as Python, R, or Spark.
• Professional experience with business intelligence tools like Looker, Tableau or similar.
• Proven ability to design and execute AB-Tests, along with a solid understanding of statistical analysis techniques.
• A strong capacity to manage projects, including estimating effort, prioritizing tasks, and identifying potential risks.
• Excellent written and verbal skills, comfortable communicating to a variety of audiences, from non-technical stakeholders to senior leaders.
• Adept at working closely with Product Managers and other stakeholders, with an ability to translate ambiguous business questions into quantifiable data queries.
• A passion for learning and sharing knowledge, with a willingness to give and receive constructive feedback.
• Flexible, excited to learn, and able to wear many hats within our interconnected and fast-paced marketplace.