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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.
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.
You’ll join Trust & Safety’s Actioning team, whose mission is to protect the Vinted community from harmful activities and content. The team owns critical mechanisms, including user reporting, moderation workflows, policy enforcement, and interventions against malicious users.
We’re looking for a Data Analyst / Decision Scientist to join the team and help shape better product and policy decisions through data. In this role, you’ll be embedded in a cross-functional product team, working closely with product managers, engineers, and other decision scientists to solve meaningful problems and turn insights into action.
- 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.
- Information about the position
- This is a great opportunity for someone who enjoys combining analytical depth with real product impact. You’ll lead hypothesis-driven experimentation, uncover opportunities, measure outcomes, and help your team make confident, data-driven decisions.
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 gross monthly salary range for this position is