Senior/Staff Data Analyst, Storefront

September 13, 2026

Hybrid

Senior

Berlin, DE, London, UK

Important before applying

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Mandatory office attendance · 4 days per weekBackground check required

Description

Quince builds fast‑scaling international storefronts and relies on data‑driven insights to guide growth. The Senior/Staff Data Analyst will partner with product, engineering and business teams to turn large‑scale datasets into actionable recommendations.

Responsibilities

Partner closely with product, engineering, merchandising and business stakeholders to support launch and growth of new international storefronts
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, delivering actionable recommendations
Lead deep‑dive analyses to uncover growth opportunities 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
Improve data quality, governance, instrumentation and analytics best practices across global analytics teams
Define success metrics and analytical frameworks for new product initiatives and international expansion efforts
Act as a strategic thought partner, surfacing insights, risks and opportunities to drive measurable business outcomes
Contribute to building a high‑performing analytics culture grounded in rigor, speed, curiosity and ownership

Requirements

7+ years of experience in product or growth analytics, data science or similar roles within e‑commerce or technology
Strong expertise in SQL and working with large‑scale behavioral and transactional datasets
Advanced proficiency in Python for analytics, experimentation, statistical modeling and data exploration
Experience designing and evaluating experiments, including A/B testing and causal inference methodologies
Expertise in KPI development, growth frameworks, funnel analysis and customer behavior analytics
Experience building dashboards and analytical tools using Tableau, Looker, Mixpanel or Streamlit
Ability to translate complex analyses into clear business recommendations for technical and non‑technical audiences
Strong communication and stakeholder management skills
Ability to work independently and manage multiple high‑impact initiatives in ambiguous environments
Bachelor's degree in a quantitative field; advanced degree preferred

Conditions

Hybrid work model with four days per week in the office (Berlin or London)
No full‑time remote option

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Senior/Staff Data Analyst, Storefront

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