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🟢 Actively Hiring · Posted Today ⏳ Closes in 60 days US Corridor 🛡️ US Work Authorization 🏢 FULL_TIME

Manager of Data Science & Analytics, Payments Intelligence

🏢 Vinteden • 📍 Berlin • 🕒 Oct 8, 2026
Salary Range
Salary Disclosed on Application
Full Benefits Package

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Prevailing Wage Benchmark US DOL Fair Labor Standards Act (FLSA) aligned
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Corridor Right-to-Work Match US Work Authorization

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Location Base
Berlin
Tier-1 US Economic Zone
Est. Take-Home Pay
72% - 78% (After Federal/State Tax)
Single tax filer baseline
Transatlantic Parity
1.0 USD ≈ £0.79 GBP Living Standard
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Position Overview & Specifications

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. 

Information about the position 

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 
About you 
  • You’ve worked with payments or fintech previously (2+ years of experience in a large fintech strongly preferred)
  • You have experience leading and growing a domain or a complex team 
  • You have a strong applied background in data, including previous hands-on experience and relevant education (STEM degree or equivalent) 
  • You can see the big picture, identify systemic patterns, propose systemic solutions and drive their implementation 
  • You understand modern data approaches, you know how to balance experimentation, modelling quality, delivery speed, and long-term maintainability 
  • You bring strong technical, product and business judgment, and can connect technical decisions to the company goals
  • You communicate clearly and can explain complex ideas in a simple, pragmatic, and persuasive way
  • You’re hands-on enough to challenge assumptions, review work, and guide technical direction when needed
  • You can effectively collaborate with senior stakeholders across different functions
Work perks 
  • The opportunity to benefit from our share options programme
  • 30 days of paid annual leave
  • Newest MacBook models
  • Confidential Employee Assistance Program (EAP) for you and your family
  • Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
  • Lunch benefit per your workday
  • Frequent team-building events
  • A personal monthly budget for shopping on Vinted
  • Access to a discounted gym membership plan
  • Pension Plan with Vinted matching 150% of your chosen contribution
  • Supplemental Private Health Insurance
  • Life and Disability insurance
  • A subsidised Deutschlandticket for your commute to the office by public transport
  • A dog-friendly office
Working at Vinted 

Workation policy 

Better balance holidays with workdays by working remotely! Up to 90 days per year in the EU, of these, 21 days can be spent globally. For non-EU citizens, it's 21 days worldwide. This can be combined with time off for vacation or personal time.

Individual learning budget

Each year, you’ll be given a learning budget (starting at €3,000), and a total of up to 10 working days over a 2-year period to support your personal and professional development.

Hybrid work 

Our hybrid model, with 2 recommended office days a week, gives you and your team the flexibility to decide if and when you want to work from home, and when to catch up in person.

Equal opportunity

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

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Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

United States Work Authorization & Sponsorship Guide

Corridor Intelligence

Under United States immigration law (INA § 101(a)(15)(H)), foreign nationals seeking full-time professional positions typically navigate either non-immigrant specialty occupation classifications or immigrant visa sponsorship:

🇺🇸 H-1B Specialty Occupation & Cap

Requires a relevant Bachelor's degree or higher. Employers must file an approved Labor Condition Application (LCA) with the US Department of Labor confirming the prevailing wage rate.

⚡ TN / O-1 / STEM OPT Pathways

Canadian and Mexican citizens qualify under USMCA (TN status). F-1 STEM graduates benefit from 36-month aggregate work authorization through E-Verify enrolled employers.

⚖️ Official regulatory reference: USCIS Working in the US & US DOL Foreign Labor Certification.

Candidate Preparation Blueprint: Technology

Recruitment Insights

Based on transatlantic hiring benchmarks for Manager of Data Science & Analytics, Payments Intelligence roles across Vinteden's corporate sector, successful applicants typically excel across three core dimensions:

1. Domain Competency

Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Technology.

2. Behavioral & Leadership

STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.

3. Compensation Alignment

Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.

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Hiring Organization
Vinteden

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Location: Berlin
Eligibility: US Work Authorization
Schedule: FULL_TIME
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