Staff Data Analyst (Storefront)

Quince; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Quince is seeking a senior analytics leader to drive growth for emerging storefront markets. You will identify key drivers of customer behavior and product impact, partnering with product, engineering, and merchandising to scale new international storefronts.

You will develop dashboards and KPI frameworks, lead experiments, and forecast trends to inform strategic decisions in fast-growing markets, working with global analytics teams to elevate data quality and governance.

Qualifications

• Bachelor’s degree in a quantitative field.
• Advanced degree preferred.
• Experience building dashboards and analytical tools using Tableau, Looker, Mixpanel, or Streamlit.
• Advanced proficiency in Python for analytics, experimentation, statistical modeling, and data exploration.
• Strong expertise in SQL and experience with large-scale datasets.
• 7+ years of experience in product analytics, growth analytics, or data science in e-commerce/tech.

Responsibilities

• Drive growth and success of emerging storefront markets by identifying high-impact opportunities across product experience, customer behavior, and operational performance.
• Partner with product, engineering, merchandising, and stakeholders to support launches and growth of international storefronts and experiences.
• Develop dashboards, KPI frameworks, and automated reporting to monitor acquisition, engagement, conversion, retention, orders, and revenue.
• Lead deep-dive analyses to uncover growth opportunities and improve the end-to-end customer journey.
• Design and evaluate experiments including A/B testing to measure product impact and guide roadmap prioritization.
• Forecast trends using advanced analytics to support strategic decisions in new markets.
• Collaborate with global analytics teams to improve data quality, governance, instrumentation, and AI-enabled analytics workflows.
• Define success metrics and analytical frameworks for new product initiatives and expansion efforts.
• Act as a strategic thought partner to surface insights, risks, and opportunities for measurable outcomes.

Skills

Python

SQL

Dashboards

Experimentation

Data storytelling

Communication

Education

Bachelor’s in Statistics/Mathematics/Economics/CS

Advanced degree preferred

Tools

Tableau

Looker

Mixpanel

Streamlit

Job description

• 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
• 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

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 growthThey 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 successfullyThe 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 marketsStrong understanding of KPI development, growth frameworks, funnel analysis, and customer behavior analyticsLastly, 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 organizationBachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related discipline. Advanced degree preferredExperience building dashboards and analytical tools using platforms such as Tableau, Looker, Mixpanel, or StreamlitBased in Berlin or London with the ability to work from the office 4 days per weekAdvanced proficiency in Python for analytics, experimentation, statistical modeling, and data explorationExtensive experience designing and evaluating experiments, including A/B testing methodologies and causal inference approachesDemonstrated ability to influence product direction and prioritization through data-driven insights7+ years of experience in product analytics, growth analytics, or data science roles within e-commerce or technology environmentsProven track record of independently managing multiple high-impact initiatives in ambiguous environmentsStrong expertise in SQL and experience working with large-scale behavioral and transactional datasetsAbility to move fluidly between strategic thinking and hands-on execution in a fast-paced environmentStrong communication skills with the ability to synthesize complex analyses into clear business recommendations for technical and non-technical audiencesExperience supporting international expansion, marketplace growth, or multi-region e-commerce businessesExperience analyzing customer journeys across storefront, acquisition, merchandising, and checkout experiencesExposure to machine learning, causal analysis and predictive modeling applications in consumer or growth analyticsExperience working in high-growth, highly cross-functional product organizations