Responsibilities

• Own the analysis and narrative behind our digital performance.
• Monitor the KPIs that explain how the site performs day to day, from the conversion funnel to categories performance, including navigation behavior and basket analysis.
• Understand what's driving performance, surface the risks and opportunities behind the numbers, and translate them into clear recommendations and concrete ways to improve.
• Partner closely with Site Merchandising to turn those findings into merchandising action, and keep senior leadership equipped with a decision-ready read on where we stand and why.
• Own the analysis behind offer, merchandising, and banner tests — structuring the read, documenting results, and communicating clear, actionable recommendations.
• Connect experimentation and overall performance into a coherent point of view that informs the strategic decisions we make on offers, merchandising, and how we drive conversion.
• Own a core set of performance and merchandising dashboards: keeping them accurate and reliable, evolving them as needs change, and acting as the go-to source of truth for the questions they answer.
• Collaborate with data engineering and tech teams to ensure data integrity, tracking accuracy, and proper implementation of analytics tools.
• Proactively surface opportunities to improve merchandising efficiency, reduce friction, and lift conversion.
• Explore how AI can sharpen and scale the way we analyze performance: a genuine open space for the right person to shape.

Requirements

• 4+ years of experience in analytics, ideally in retail, e-commerce, or digital performance
• Bachelor's degree required; Master’s in engineering and/or business a plus
• Fluency in SQL (BigQuery) and hands-on experience building in Looker Studio (or other visualization tool) comfortable pulling and modeling data directly, not just consuming dashboards
• Curiosity about applying AI to analytics workflows, and the initiative to explore it
• Strong analytical rigor paired with a genuinely result-driven mindset: you connect data to business outcomes, not just reporting - experience with customer segmentation, cohorts and LTV is a plus
• Proven ability to own your scope end-to-end and manage your own projects and priorities autonomously
• Excellent communication and storytelling skills, with the ability to present clearly and credibly to senior leadership
• A great eye and sensitivity for lingerie products, with a real appeal for retail and merchandising
• Comfortable working cross-functionally across Performance/Marketing, Finance, Merchandising, and Tech/Data teams
• Ability and willingness to work on-site at our office in Tribeca 3 days per week

Preferred

• Master’s in engineering and/or business a plus
• Experience with customer segmentation, cohorts and LTV is a plus
• Curiosity about applying AI to analytics workflows