Data Analyst

At cabi, we’re redefining what it means to build a fashion brand—one rooted in connection, confidence, and purpose. As a women’s retail clothing company, we don’t just design beautiful apparel; we create opportunities for women to express themselves, build community, and thrive both personally and professionally. Our culture is collaborative, entrepreneurial, and deeply people-first, and every team member plays a role in creating meaningful experiences for our Stylists and clients. If you’re energized by creativity, inspired by empowering others, and excited to contribute to a brand that blends style with substance, you’ll feel right at home here.

We are looking for a Data Analyst who can own our recurring reporting and also dig into the open-ended questions that come up across the business. About half of the role is keeping our core reporting accurate, reliable, and increasingly automated. The other half is ad hoc analysis and project work, where you'll partner with teams across the company to answer the questions behind their biggest decisions.

This role is a great fit for someone who enjoys both building things that run smoothly and solving new problems. You should be comfortable taking a loosely defined request, figuring out what's really being asked, and turning it into a clear analysis and recommendation. Because our work goes to executives, the board, and external partners, a high attention to detail is essential.

We also use AI tools every day to work faster and smarter, and we're looking for someone who is excited to do the same.

What You'll Do

Reporting, maintenance, and automation

• • Own and maintain a portfolio of recurring reports and Tableau dashboards used by executives and teams across the company
• • Monitor data refreshes and pipelines, troubleshoot issues quickly, and keep stakeholders informed when something breaks
• • Find manual or repetitive reporting work and automate it, using SQL, scripting, and AI tools to make reporting faster and more reliable
• • Build and maintain data transformation pipelines in our cloud data warehouse (Snowflake) that feed reporting and analysis
• • Write clear documentation for reports, metric definitions, and data logic so the team can support each other's work
• • Validate data and check your work so the numbers we publish can be trusted

Ad hoc analysis and projects

• • Partner with stakeholders across the company to understand the business questions behind their requests
• • Turn vague or loosely defined asks into specific questions, scoped analyses, and clear timelines
• • Help develop data products for teams across the organization that keep them informed and guide their decision making