Senior/Staff Data Analyst, Storefront

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.

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.