Q

Quince

Direct-to-consumer fashion and home goods retailer

Staff Data Analyst - Marketing

Data AnalysisConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Data Science, or a similar field is required; a master's degree is a plus.
  • At least 7 years of experience in data analytics or product analytics, ideally focused on supply chain within an e-commerce or technology company.
  • Proficiency in SQL and data visualization tools such as Tableau, Looker, Power BI, or 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 attention to detail, accuracy, and clarity.
  • Ability to present data insights and recommendations effectively to technical and non-technical audiences.
  • Ability to manage multiple projects and prioritize in a fast-paced, dynamic environment.
  • Must be based in Berlin or London and able to work from the Berlin or London office four days per week.

Responsibilities

  • Partner with the US team to understand existing practices to replicate and identify gaps to build upon.
  • Develop and maintain automated reports tracking Marketing KPIs, including new and returning customers, LTV/CAC, total versus incremental ROAS, performance marketing channels such as paid social, SEM, apps, and affiliates, and CRM metrics including customer cohorts, database health, and lifecycle stages.
  • Conduct ad hoc analyses to identify channel inefficiencies, scaling opportunities, and areas to improve MER and total ROAS.
  • Partner with Product, Engineering, and Performance teams to deliver experimentation and incrementality studies, including Geo-Lift tests, channel incrementality, brand lift, and MMM validation.
  • Partner with Product, Engineering, and CRM teams to deliver a data-driven customer lifecycle program, including key drivers of high-value customers.
  • Run A/B and multivariate tests across lifecycle touchpoints to optimize revenue per visit and incremental LTV or revenue.
  • Develop a multi-category approach to cross-selling by identifying triggers and next-best actions based on customer behavior.
  • Implement data quality and governance practices, including GDPR, and AI usage best practices in collaboration with the US team.
  • Contribute to the growth of the international team.

Desired Qualifications

  • Experience running Geo-Lift tests across Europe.
  • Previous e-commerce or multi-category experience.
  • A strong background in performance marketing attribution and CRM measurement.
  • Ability to translate data analysis into action through storytelling and visualization.
  • Understanding of core marketing metrics and how they interact to deliver profitable growth, including LTV/CAC, ROAS, and MER.
  • Familiarity with Python or R.

About the Company

Quince

Direct-to-consumer fashion and home goods retailer

Quince is an online retailer that sells fashion and lifestyle products directly from manufacturers at affordable prices. Customers shop on its website for items like dresses, blouses, leather goods, and home essentials, and the company earns revenue from online sales while reducing costs by cutting out intermediaries. The brand differentiates itself through direct global sourcing to offer affordable luxury and by building a community of advocate customers who share experiences with #OneQuince. Its goal is to provide high-quality products at accessible prices and cultivate a loyal online community around the Quince brand.

Company size
1,001-5,000
Company stage
Series E
Total funding
$958M
Headquarters
San Francisco, CA
Founded
2018

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