Staff Data Analyst, Marketing
THE IDEAL CANDIDATE
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.
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.
REQUIREMENTS:
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
Preferred Qualifications:
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