Our mission is simple: make really high quality essentials for really low prices, fairly and sustainably. What began with a small assortment of elevated basics has quickly grown into a cross-category brand spanning apparel, accessories, home goods, and more. We question conventional thinking, use technology and data to uncover new opportunities, and move quickly to turn ideas into reality. Where conventional wisdom says you have to choose - soft or durable, speed or rigor, quality or price - we ask why that trade-off has to exist in the first place.
The ideal candidate is deeply analytical, highly curious, and motivated by using data science to shape the trajectory of fast-scaling international storefronts. They are skilled at uncovering the underlying drivers of customer behavior, business performance, and product outcomes, and translating those insights into clear opportunities for growth.
This person is energized by building from zero-to-one, partnering closely with product, engineering, merchandising, and business teams to help new storefronts scale successfully.
They are comfortable owning complex analytical initiatives end-to-end, influencing prioritization through data, and helping teams focus on the highest-leverage opportunities to improve customer experience and accelerate growth in emerging markets.
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.
Partner closely with product, engineering, merchandising, and business stakeholders to support the launch and growth of new international storefronts and customer experiences.
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.
Partner with integral analytics teams to improve data quality, governance, instrumentation, and best practices in analytics and AI-enabled workflows.
Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related discipline. 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.
~ 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.
~ Based in Berlin or London with the ability to work from the office 4 days per week.

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.
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. Quince will conduct background checks in compliance with applicable federal, state, and local laws.

📌 Senior/Staff Data Analyst, Storefront (Madrid)
🏢 Quince
📍 Madrid