Senior Product Analyst - Transaction Risk Management

THE ROLE & THE TEAM

At Zalando, our vision is to be the Starting Point for Fashion. We want to offer a shopping experience that is characterized by trust, for our more than 50 million customers in 25 markets across Europe, and also for our +6,500 partner brands. To maintain this trust, it is vital for us to manage risks that originate from suspicious behaviors on our fashion platform. With 3.3 million shopping items, resulting in hundreds of thousands of orders every single day, we use big data and advanced methods from machine learning to predict and mitigate such risks and ensure trustful relationships with our customers and partners. 

As a Product Analyst in our Risk Management team, you will have the opportunity to join a dynamic and diverse group of product managers, engineers, and applied scientists. This team builds and maintains machine learning services to detect and mitigate abuse and fraud, working closely with stakeholders across Zalando to protect our customers, partners and Zalando from being negatively impacted. As part of our team, you will investigate changing fraud patterns, evaluate new approaches to fraud detection, setup project success measurements, and build KPI dashboards to help with all of the above. In addition, you will help product leaders determine the roadmap for our new products. 

INCLUSIVE BY DESIGN

At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit. 

We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process. 

do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy

Our employee resource groups: 

https://corporate.zalando.com/en/our-impact/our-employee-resource-groups 

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• Collaborate closely with product managers and stakeholders to investigate anomalies in fraud patterns, understand our users’ journeys, and support product discovery for potential new risk tools

• Create analytical dashboards and workflows to monitor key business and technical processes

• Track and review project success

• Work with applied science teams and stakeholders to evaluate machine learning models and their application to different markets and customer segments, including the setup of experiments

• Support your peers in analytics, sharing best practices with other teams and the larger Zalando community

WE'D LOVE TO MEET YOU IF

• You want to dive deep into complex data and risk problems in order to create actionable insights.

• You have a proven track record of 4+ years as a product analyst with solid experience in data analysis, experimentation, and dashboard design, ideally in a fast-paced e-commerce environment

• You have excellent knowledge of data querying and transformation (SQL), and programming languages (such as Python/R), and Git. Experience with Spark and with data visualization tools such as Microstrategy is a plus.

• You can balance technical acumen with business understanding and excel in collaborating with stakeholders to drive insightful, robust analyses.

• You can efficiently manage projects and successfully collaborate with diverse stakeholder groups.

• You have strong analytical abilities and excellent verbal and written communication in English, with a curious, creative and self-starter mindset. You couple your passion for data with pragmatism to drive actions and impact.

OUR OFFER

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• Employee shares program

• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners

• 2 paid volunteering days a year

• Hybrid working model with 60% (or more) 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

• 27 days of vacation a year to start

• Relocation assistance available (subject to prior agreement)

• Family services, including counseling and support

• Health and wellbeing options (including Gympass)

• Mental health support and coaching available

 Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us