This role will be jointly accountable for helping drive the growth and success of emerging storefront markets by identifying the highest-impact opportunities across product experience, customer behavior, and operational performance.

Lastly, they are excited by a culture where transparency, speed, accountability, and high standards are core operating principles, and where data is central to decision-making across the organization.

Responsibilities

• Partner closely with product, engineering, merchandising, and business stakeholders to support the launch and growth of new international storefronts and customer experiences.
• Develop scalable dashboards, KPI frameworks, and automated reporting to monitor business health across acquisition, engagement, conversion, retention, orders, and revenue.
• Identify and quantify the key drivers behind storefront performance and customer behavior, translating findings into actionable recommendations for product and business teams.
• 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 best practices in analytics and AI-enabled workflows.
• Help define success metrics and analytical frameworks for new product initiatives and international expansion efforts.
• Act as a strategic thought partner to cross-functional teams by proactively 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.

Qualifications

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related discipline. Advanced degree preferred.
• 7+ years of experience in product analytics, growth analytics, or data science roles within e-commerce or technology environments.
• Strong expertise in SQL and experience working with large-scale behavioral and transactional datasets.
• Advanced proficiency in Python for analytics, experimentation, statistical modeling, and data exploration.
• Extensive experience designing and evaluating experiments, including A/B testing methodologies and causal inference approaches.
• Strong understanding of KPI development, growth frameworks, funnel analysis, and customer behavior analytics.
• Experience building dashboards and analytical tools using platforms such as Tableau, Looker, Mixpanel, or Streamlit.
• Ability to move fluidly between strategic thinking and hands-on execution in a fast-paced environment.
• Strong communication skills with the ability to synthesize complex analyses into clear business recommendations for technical and non-technical audiences.
• Demonstrated ability to influence product direction and prioritization through data-driven insights.
• Proven track record of independently managing multiple high-impact initiatives in ambiguous environments.
• Based in Berlin or London with the ability to work from the office 4 days per week.

Preferred Qualifications

• Experience supporting international expansion, marketplace growth, or multi-region e-commerce businesses.
• Experience analyzing customer journeys across storefront, acquisition, merchandising, and checkout experiences.
• Exposure to machine learning, causal analysis and predictive modeling applications in consumer or growth analytics.
• Experience working in high-growth, highly cross-functional product organizations.

Why Quince?

Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.

Equal Opportunity & Hiring Integrity

Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.

Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.

Security Advisory: Beware of Frauds

At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.