Data Analyst, Marketing Germany - Berlin

Stellenbeschreibung:

Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value.

Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions:

Customer First : We prioritize customer satisfaction in every decision.

High Quality : True quality means premium materials and rigorous production standards you can feel good about.

Essential Design : We focus on timeless, functional essentials instead of chasing trends.

Always a Better Deal : Innovation and transparency ensure value for both customers and partners.

Social & Environmental Responsibility : We commit to sustainable materials, ethical production, and fair wages.

Quince partners with world‑class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency.

OUR TEAM AND SUCCESS

At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience – one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world‑class team committed to excellence.

If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince.

THE ROLE

The ideal candidate is a problem solver who is excited about using data and technology to build best in class processes, technology and business. The candidate should be comfortable in a fast paced environment where the answers are not always easily available. Moreover the candidate should feel energized by an environment where decision making is intentionally distributed, speed, data and strategy are highly valued and colleagues at all levels hold each other at unusually high standards of impact on behalf of Quince’s customers and partners.

Quince is seeking a talented individual to be part of the Returns organization. In this role the candidate will help form the strategy and models to decrease returns as well as decrease the cost of returns to Quince while improving the customer experience. In order to do so they will automatically become experts on the data across the whole Quince platform and business and help decide where to invest more efforts from the team as well as build models to optimize both the customers’ and vendors’ experiences.

RESPONSIBILITIES

  • Leverage data to build key insights for business, product and tech stakeholders
  • Automate insights generation to increase speed of decision making
  • Plan, execute and analyze key A/B tests on customers and vendors experience
  • Own strategy and development of daily, weekly and monthly dashboard for reporting within the Returns team as well as to Quince’s leadership
  • Prototype models for ad hoc analysis
  • Prototype models to improve Quince’s customers and vendors experience
  • Perform ad hoc monitoring and investigation into data and reporting issues.

QUALIFICATIONS

  • 5-7 years relevant experience in data analytics or data science, preferably with a focus on marketplaces or logistics
  • Strong analytical skills and the ability to translate data into business and product insights
  • Strong proficiency in SQL
  • Proficiency in Python statistical packages preferred or similar language
  • Strong proficiency with AI tools to increase productivity and surface data and insights
  • Excellent written and oral communication, including the ability to communicate across business areas and with leadership
  • Ability to prioritize and deliver across multiple threads of work in a fast paced environment
  • Strong personal work ethic, including personal initiative and ownership

All posted ranges are reflective of base salary and may vary depending upon experience level and location. Bonus and equity may also be provided for eligible roles.

WHY QUINCE?

Joining Quince means being part of a mission‑driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.

EQUAL OPPORTUNITY & HIRING INTEGRITY

Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case‑by‑case basis.

Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.

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EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    19 Mai 2026
  • Standort:

    Berlin
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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