About the Team
This Senior Data Analyst - Product Analytics role will support GOAT Group's Grailed brand. Founded in 2013, Grailed is the leading community-driven marketplace for rare luxury, streetwear and vintage fashion. The marketplace was built for enthusiasts, by enthusiasts, and features products from brands including Supreme, Raf Simons, Gucci, Saint Laurent, Balenciaga, Prada and more. With a highly curated selection of resale pieces including inventory exclusive to the platform, Grailed makes fashion accessible.
Our team prides itself on providing an environment that encourages learning and growth, giving you the opportunity to lead your own projects and take pride in the work you do. We're constantly looking for chances to create a more inclusive, fun, collaborative, and effective work environment.
As the Senior Data Analyst, Product Analytics you will be the Product Analytics expert supporting our Community-Powered Discovery team, providing reporting and strategic, data-backed decision support while generating deep understanding of our customers and inventory. Through foundational work like event instrumentation and Product Analytics reporting, up to increasingly complex analyses like ML-powered user bucketing based on feature usage, you will drive the Grailed product forward with data.
You bring a proven analytical track record combined with deep, demonstrable product knowledge that will help Grailed unlock value for our customers through data-led improvements to our product experience. You will work cross-functionally with our Marketing and Retention teams to ensure our product analytics serve orgwide partners, and you willcollaborate with other analysts who support different Product or Marketing squads while integrating with the broader Data team, including working closely with Data Engineering. You will lead by example, peer-review others’ analyses, assist on complex tasks and share your Product Analytics expertise to raise the team’s overall data capabilities.
You will use data and product experience to solve complex problems where new, innovative solutions result in better user experiences and meaningful metric improvements (A Ha and Habit moments, Activation Rate, Conversion Rate, Repeat Purchase Rate, etc), and you will refine and enforce best practices for product experimentation and analysis. Your goal is to bring rigor and insights to every product decision we make and, through data, to identify areas of opportunity for future product growth.
We value empathy and collaboration, and we look for teammates who are willing to not only demonstrate their own value but seek to share the spotlight and develop others’ skills to succeed as a team.
In this role, you will:
We are looking for: