Q
Quince
Staff Data Analyst (Storefront)
Skills
SQL QueriesLookerE-commerce WebsitesTableauPythonData ScienceData AnalysisMachine LearningAI
1 month ago
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Important information
Contract type:
Permanent
Location:
Berlin, Germany
Work mode:
Onsite
Published on:
13 September 2026
What they need
- 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
- 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- 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
- They thrive in ambiguous, fast-moving environments where they are expected to move beyond reporting into proactive problem solving, experimentation, and strategic influence. 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
- The ideal candidate combines strong technical depth in analytics and experimentation with strong business judgment. 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
- Strong understanding of KPI development, growth frameworks, funnel analysis, and customer behavior analytics
- 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
- Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related discipline. Advanced degree preferred
- Experience building dashboards and analytical tools using platforms such as Tableau, Looker, Mixpanel, or Streamlit
- Based in Berlin or London with the ability to work from the office 4 days per week
- 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
- Demonstrated ability to influence product direction and prioritization through data-driven insights
- 7+ years of experience in product analytics, growth analytics, or data science roles within e-commerce or technology environments
- Proven track record of independently managing multiple high-impact initiatives in ambiguous environments
- Strong expertise in SQL and experience working with large-scale behavioral and transactional datasets
- 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
- 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- Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws
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