Quince - Staff Data Analyst, Marketing

Germany - Berlin3w ago

In Office Staff EMEA Data Analytics E-commerce Customer Success Engineer Marketing Manager SQL Data Visualization Tableau Looker Mixpanel

Requirements

• The ideal candidate is a self-starter and problem-solver, skilled at leveraging technology and data to deliver top-tier analytics solutions. They thrive on addressing complex business challenges and are consistently effective in making high-judgment decisions at a rapid pace, even in the face of ambiguity and uncharted scenarios. Additionally, the ideal candidate is energized by a work environment where strategy, innovation, and decision-making are intentionally distributed, where transparency, agility, and data-driven insights are highly valued, and where colleagues at all levels hold each other to exceptionally high standards to serve Quince customers. • Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Data Science, or similar). Master’s degree is a plus. • 7+ years in a data analytics/product analytics role, ideally with a focus on supply chain within an e-commerce or technology company. • Proficiency in SQL and data visualization tools (e.g., Tableau, Looker, Power BIm Mixpanel). • Knowledge of statistical analysis and A/B testing; familiarity with Python or R is a plus. • Ability to interpret complex data and translate it into actionable insights, with a focus on detail, accuracy, and clarity. • Excellent verbal and written communication skills, with the ability to present data insights and recommendations effectively to both technical and non-technical audiences. • Demonstrated ability to manage multiple projects and prioritize in a fast-paced, dynamic environment. • Based in Berlin / London with the ability to come into the Berlin / London office 4 days per week • Experience in running Geo-lift tests across Europe • Previous e-commerce / multi-category experience • Strong Performance marketing (attribution) + CRM measurement background • Able to translate data analysis into action through storytelling and visualization • Understanding of core marketing metrics and how they interact to deliver profitable growth: LTV/CAC, ROAS, MER

Responsibilities

• Partner with the US team to understand what exists that we need to replicate and the gaps that we need to build upon • Develop and maintain automated reports to track Marketing KPIs: • New/Returning Customers, LTV/CAC, Total vs. inc. ROAS • Performance Marketing Channel: Paid Social, SEM, App, Affiliates etc. • CRM: Customer cohort, Database health + Lifecycle stages • Conduct ad-hoc analyses to identify channel inefficiencies, scaling opportunities, areas for improving MER / Total ROAS. • Partner with Product, Engineering and Performance team to deliver experimentation and incrementality studies: Geo-Lift tests, Channel Incrementality, Brand lift, MMM validation. • Partner with product, engineering and CRM to deliver: • A data driven customer lifecycle programme including key drivers of high-value customers • A/B and multivariate tests across lifecycle touchpoints that optimize revenue per visit, and Incremental LTV / Revenue • A multi-category approach to cross selling, identifying triggers and next best actions based on customer behaviour • Implement data quality, governance (inc. GDPR) and AI usage best practices in collaboration with the US. • Be an integral part of the international team and contribute to their growth.