data analyst international storefronts

Quince is a retail brand that offers high-quality essentials at low prices through a manufacturer-to-consumer model. It works directly with manufacturing partners and uses operational processes, proprietary technology, AI, and analytics to scale apparel, accessories, home goods, and other product categories internationally.

• Partner with product, engineering, merchandising, and business stakeholders to support new international storefronts and customer experiences;
• Develop scalable dashboards, KPI frameworks, and automated reporting across acquisition, engagement, conversion, retention, orders, and revenue;
• Identify and quantify drivers of storefront performance and customer behavior, translating findings into actionable recommendations;
• Lead deep-dive analyses to uncover growth opportunities, diagnose friction points, and improve the end-to-end customer journey;
• Design, analyze, and interpret A/B tests and other experimentation frameworks to measure product impact and guide roadmap prioritization;
• Apply advanced statistical and analytical techniques to forecast trends, measure causal impact, and support strategic decision-making in new and growing markets;
• Partner with global analytics teams to improve data quality, governance, instrumentation, and analytics and AI-enabled workflow practices;
• Help define success metrics and analytical frameworks for new product initiatives and international expansion efforts;
• Act as a strategic thought partner by surfacing insights, risks, and opportunities that drive measurable business outcomes;
• Contribute to building a high-performing analytics culture grounded in rigor, speed, curiosity, and ownership.

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field;
• 7+ Years of experience in product analytics, growth analytics, or data science within e-commerce or technology environments;
• Strong expertise in SQL and large-scale behavioral and transactional datasets;
• Advanced Python proficiency for analytics, experimentation, statistical modeling, and data exploration;
• Extensive experience designing and evaluating experiments, including A/B testing and causal inference;
• Strong understanding of KPI development, growth frameworks, funnel analysis, and customer behavior analytics;
• Experience building dashboards and analytical tools with Tableau, Looker, Mixpanel, or Streamlit;
• Ability to combine strategic thinking with hands-on execution in a fast-paced environment;
• Strong communication skills for presenting complex analyses as clear recommendations to technical and non-technical audiences;
• Ability to influence product direction and prioritization through data-driven insights;
• Proven ability to independently manage multiple high-impact initiatives in ambiguous environments;
• Ability to work from the office 4 days per week;
• Nice to have: Advanced degree, experience supporting international expansion, marketplace growth, or multi-region e-commerce businesses, experience analyzing customer journeys across storefront, acquisition, merchandising, and checkout, exposure to machine learning, causal analysis, and predictive modeling in consumer or growth analytics, experience in high-growth cross-functional product organizations.

• Office work is based in Berlin or London;
• Employment is contingent upon successful completion of a background check;
• Reasonable accommodations are available for qualified individuals with disabilities.