Product Analyst (all genders)
Job Summary
THE ROLE & THE TEAM
Zalandos Logistics Product Analytics Team is looking for a Data/Product Analyst to help us deliver the best version of our Warehouse Management System (WMS) running in our European Fulfilment Network.
As part of our team you will become an expert in logistics data and support product managers in data-driven decision-making for our WMS. Your main area of work will be to deliver complex root cause analysis and help create a solid infrastructure for data analysis in a collaborative environment. As a Data/Product Analyst you will be the analytical partner for other teams including applied scientists software engineers and product managers.
INCLUSIVE BY DESIGN
If you think you have what it takes we encourage you to apply even if you dont meet every single requirement. You may just be the right candidate for this or other roles!
At Zalando our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity and we actively seek out talent from all backgrounds.
We actively seek to reduce bias in our hiring and employment processes focusing on your qualifications skills and contributions. To support this we kindly ask that you refrain from including personal details such as your photo age or marital status in your CV ensuring a fair and equitable evaluation based solely on your abilities and potential.
We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process please let us know we are here to assist you.
Discover more about our commitment to creating a diverse and inclusive workplace: WED LOVE YOU TO DO (AND LOVE DOING) You will partner up with interdisciplinary teams of applied scientist software engineers product managers but also local warehouse operations and be their Analytics go-to person. You will create complex but explainable data models from raw data for internal and stakeholder use. You will execute quantitative analytics end-to-end with direct access to relevant tools/databases/sources to deliver clear insights. You abstract complex problems into concrete steps before execution. You will constantly learn from a wide set of stakeholders about a variety of topics related to improving logistics operations and apply your gained knowledge through data analysis. You will also help our on-site operation teams with valuable ad-hoc analysis and reporting to effectively steer for an efficiently running warehouse. You have a strong drive and enjoy delivering results. You enjoy piecing together how a complex system fits together. You have 3 years of experience in data analytics working with Engineering Product or Applied Science departments with demonstrated impact. You already have knowledge or share an interest in Logistics and are willing to dig deep into our logistics infrastructure and gather lots of domain knowledge in the area. You have a strong understanding of statistical concepts. You have experience designing and creating data models. You have very advanced skills in using SQL you are able to absorb and effectively use new or unknown data sources. You have good knowledge of Python and an interest or experience in technologies like Databricks to crunch big amounts of data. You are familiar with Visualization Tools like Microstrategy Grafana or Looker Studio for visualization. You have experience creating and understanding simple to more complex algorithms. You are able to speak your mind to challenge the status quo be clear & structured in your train of thought. You are proficient in English (written & spoken). Zalando provides a range of benefits heres an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer. 27 days of holiday a year to start for full-time employees 2 paid volunteering days a year Hybrid working model with up to 60% remote per week actual practice is up to each team to best support their collaboration Work from abroad for up to 30 working days a year Employee shares program 40% off fashion and beauty products sold and shipped by Zalando 30% off Lounge by Zalando discounts from external partners Relocation assistance available (subject to prior agreement) Family services including counseling and support Health and wellbeing options (including Wellhub formerly Gympass) Mental health support and coaching available Drive your development through our training platform and biannual peer-to-peer reviewWED LOVE TO MEET YOU IF
OUR OFFER
Required Experience:
IC