Senior/Staff Data Analyst, Storefront

About This Opportunity

We are representing a confidential e-commerce organization seeking a Senior/Staff Data Analyst to support their international storefront operations in London. This role sits at the intersection of product analytics, growth strategy, and international expansion, offering the opportunity to shape how fast-scaling storefronts grow and succeed in emerging markets.

Our client operates in a fast-paced, data-driven environment where analytics directly influences product direction, customer experience, and business outcomes. You'll partner closely with product, engineering, merchandising, and business teams to identify high-impact opportunities and translate complex data into actionable growth strategies.

Responsibilities

• Partner with cross-functional teams 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 markets
• Partner with global analytics teams to improve data quality, governance, instrumentation, and analytics best practices
• 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 Statistics, Mathematics, Economics, Computer Science, Data Science, or related quantitative field (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 A/B tests, including experimentation 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 between strategic thinking and hands-on execution in fast-paced environments
• Strong communication skills with ability to synthesize complex analyses for technical and non-technical audiences
• Demonstrated ability to influence product direction and prioritization through data-driven insights
• Proven track record managing multiple high-impact initiatives in ambiguous environments
• Based in London with 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 in consumer or growth analytics
• Experience in high-growth, highly cross-functional product organizations

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screening to understand your background and assess fit for this role. Strong candidates will then be submitted to our client for consideration. We ask that you do not contact the client directly, as all communication is managed through our recruiting process to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Employment Opportunity

Get A Job.ai is committed to equal employment opportunity. We welcome applications from all qualified candidates regardless 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.