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Vinted is seeking a Manager of Data Science & Analytics, Payments Intelligence, reporting to the Director of Data Science & Analytics. You will lead an analytics-focused team servicing Payments BU across domains, acting as a hub for Data Science and Analytics Engineering, and guiding data-driven decisions with stakeholders in Engineering, Product, Finance and Compliance.
You will manage Analytics Engineers, Data Scientists and Decision Scientists, shaping a global, revenue-generating platform
Brief info about Vinted Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third. The Vinted Group is made up of three business units that support this mission: Vinted Marketplace is Europe’s leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life. Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces. Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members. Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people.
As a Manager of Data Science & Analytics, Payments Intelligence you will report directly to the Director of Data Science & Analytics, Payments BU and will be leading an analytics-focused team. Payments Intelligence team supports all Payments Business Unit across different domains: it serves as a Data Science and Analytics Engineering hub, a technical centre of excellence and the last line of support when domains need it. You will have to collaborate closely with Engineering, Product, Data, Design, Business, Compliance and Finance stakeholders across the Payments organisation. You will be the direct manager of Analytics Engineers, Data Scientists and Decision Scientists Payments are set out to create a global, revenue-generating, multi-service financial platform that will accelerate Vinted’s mission of making secondhand the first choice and you will play a key role in shaping it. Currently Payments is an ambitious, quickly growing business area, which brings its own challenges and opportunities. To be successful and satisfied in this role you need to be comfortable with a fast pace and continuous change. In return, you get to build something really big together with other driven and caring colleagues. In this position, you’ll Lead an analytics-focused team composed of a mix of roles by setting clear direction, supporting individual growth, and creating an environment where people can do high quality work autonomously. Ensure that we build scalable data-products efficiently. Ensure that we make data-driven decisions quickly and to a high quality. Closely collaborate with Product, Engineering, Business, Compliance and Finance stakeholders towards the outcomes that are best for the Vinted Group. Support your team beyond when needed by helping navigate ambiguity, unblocking ad hoc issues, and stepping in where your leadership adds the most value.
We welcome applications from everybody, regardless of your background, identity, or life experiences. Job openings come with guides, not checklists. If you’re excited about a role, but don’t identify with every point in the ‘About you’ section, apply anyway – you might still be the perfect match!
The annual gross salary range for this position is: €90.100 — €121.900 EUR