Staff Data Analyst (E-commerce)

TL;DR

Staff Data Analyst (E-commerce): Driving the growth and success of international storefronts by uncovering drivers of customer behavior and business performance with an accent on product experience and operational performance. Focus on building scalable KPI frameworks, designing A/B tests, and translating complex data into strategic growth opportunities.

Location: Must be based in Berlin or London with the ability to work from the office 4 days per week

Company

Tech company disrupting the retail industry via a direct-to-consumer model, utilizing AI and automation to provide high-quality essentials at low prices.

What you will do

• Partner with product, engineering, and business stakeholders to support the launch and growth of international storefronts and customer experiences.
• Develop scalable dashboards, KPI frameworks, and automated reporting to monitor acquisition, engagement, conversion, and revenue.
• Lead deep-dive analyses to identify growth opportunities and diagnose friction points in the end-to-end customer journey.
• Design and interpret A/B tests and experimentation frameworks to measure product impact and guide roadmap prioritization.
• Apply advanced statistical techniques to forecast trends and measure causal impact in emerging markets.
• Collaborate with global analytics teams to improve data quality, governance, and AI-enabled workflows.

Requirements

• Bachelor’s degree in a quantitative field (Statistics, Mathematics, CS, Data Science); advanced degree preferred.
• 7+ years of experience in product or growth analytics within e-commerce or technology environments.
• Strong expertise in SQL and advanced proficiency in Python for statistical modeling and data exploration.
• Extensive experience in A/B testing methodologies and causal inference approaches.
• Proficiency in BI tools such as Tableau, Looker, Mixpanel, or Streamlit.
• Must be based in Berlin or London with the ability to work from the office 4 days per week

Nice to have

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

Culture & Benefits

• Mission-driven environment focused on sustainability and democratizing luxury.
• Culture grounded in rigor, speed, curiosity, and high standards of ownership.
• Operating principles based on transparency and data-driven decision-making.
• Commitment to ethical production and fair wages.