Berlin, DE, Remote

Job Term


Company Website

OUTFITTERY is one of the biggest personal shopping services in Europe. We’re for those who want a little more substance from style, more guidance, and expertise - less rules and less routine. Because we believe that style is an unfolding story. We aim to inspire and empower - not dictate what to wear. We understand that style is a journey, and we’re here to guide along the way. Every customer gets a personal selection of clothes, created by our stylists out of more than 100 brands - always considering wishes and budget. Customers only pay for what they keep, without any service fee. Our mission is to empower anyone to unlock their true style.


As a Product Analyst (all genders) at Outfittery you will shape the future of customer-facing and business-facing products we build. You will combine your quantitative analysis and data mining skills with an inherent product intuition to produce insights that will drive product development. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Design, Machine Learning, and others. The results of your work will influence the team's roadmap, identify actionable product opportunities, and drive key initiatives, turning your insights and analyses into real world products.


What you do   



  • Analysis of key elements of our product (e.g. conversion rate analysis, market research, cohort analysis, and product comparison) to understand customer behavior, market trends, and product performance.

  • Conduct and analyze A/B tests for our customer funnels and products.

  • Develop tracking methods for the different customer types and journeys.

  • Impact of our product at the cross-section between our customers, our algorithms and the tech department in general.

  • Deep analysis of the product environment and customers. Translating your insights into business-actionable recommendations and visualizing your findings for stakeholders.

  • Understand and develop customer tracking data models from multiple sources.


What you know & who you are


    • You have a data-driven approach to product-related business analytics in e-commerce fields to deliver business-actionable recommendations.

    • You show excellent skills in managing and communicating with stakeholders from various perspectives.

    • You have in-depth experience using SQL. Other scripting languages such as Python to perform data analysis would be a plus.

    • You are used to working with Tableau or similar visualization tools.

    • You take initiative and bring a problem-solving mindset to the team.

    • You are a great team player with Scrum/Agile methodology experience.

    • You feel comfortable working in an English speaking work environment.



We offer

  • Training opportunities - The development of our employees is very important for us. Therefore we offer external and internal training and coaching, as well as free German courses.

  • Flexible working hours - By offering home office and flexible working hours, we give our employees the opportunity to make their everyday life efficient.

  • Employee discounts - Our employees can benefit from a 40% discount on OUTFITTERY products as well as various discounts via our partner portal Corporate Benefits.

  • Office - A newly refurbished, bright, open office space in Berlin - Kreuzberg - we have air-conditioning, too. As a company we decided to enable WFH until August 2021 so you have the comfort of your home during this pandemic. If you wish to pay a visit to the office, you are welcome! You can book shared desk space upfront via our office management.

  • Health - We like sports - do you? To promote health and well-being of our colleagues we offer in-house (offline) sport activities such as Yoga, KungFu and Kicker Tournaments. Besides, we offer corporate health days on a yearly basis together with our partner TK. On top, we are proud to have a dedicated Mental Health coach in our team who supports on professional and personal matters.

Intrigued? Then send us your application with your salary expectations and possible starting date. Your contact person is Matthias Hutsch.

Apply now