Staff Data Analyst (Storefront)

Join our team as a Staff Data Analyst (Storefront) and play a key role in driving the growth and success of emerging storefront markets. You will work closely with product, engineering, merchandising, and business stakeholders to support the launch and growth of new international storefronts and customer experiences. Your responsibilities will include developing scalable dashboards, identifying key drivers behind storefront performance, leading deep-dive analyses, designing and analyzing A/B tests, and applying advanced statistical techniques. The ideal candidate will have a strong background in analytics, experimentation, and business judgment, with a passion for using data to shape the trajectory of fast-scaling international storefronts.

• Identifying high-impact opportunities across product experience, customer behavior, and operational performance to drive growth in emerging storefront markets.
• Partnering closely with product, engineering, merchandising, and business stakeholders to support the launch and growth of new international storefronts and customer experiences.
• Developing scalable dashboards, KPI frameworks, and automated reporting to monitor business health across acquisition, engagement, conversion, retention, orders, and revenue.

• 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