Senior/Staff Data Analyst, Storefront

About This Opportunity

We are representing a confidential e-commerce client in their search for a Senior/Staff Data Analyst to support their international storefront expansion. This is a remote role requiring office presence in Berlin or London 4 days per week.

Our client operates at the intersection of product analytics, growth optimization, and international market expansion. The successful candidate will partner with product, engineering, merchandising, and business teams to unlock insights that drive customer experience improvements and accelerate growth in emerging markets.

Responsibilities

• Partner with cross-functional 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 key drivers behind storefront performance and customer behavior, translating findings into actionable recommendations
• 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 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 workflows
• Define success metrics and analytical frameworks for new product initiatives and international expansion efforts
• Act as a strategic thought partner 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

What We're Looking For

Required Qualifications:

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or 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
• 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

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and qualifications. If there's a strong match, we'll conduct an initial screening conversation to understand your experience, career goals, and fit for this role. We will then submit qualified candidates to our client for consideration. Please do not attempt to contact the client directly, as all applications must come through our recruiting process.

Pay

Compensation details will be discussed with qualified candidates during the screening process.

Equal Employment Opportunity

Get A Job.ai is committed to equal employment opportunity. We do not discriminate on the basis of 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 law.