Decision Scientist, Payments Intelligence

Vinted group.; Berlin; Hybrid; EUR 65.000 - 95.000; Vollzeit

Benefits dieser Stelle

30 days annual leave

EAP for you and family

Home office budget €540

Lunch benefit

Team-building events

Pension plan with matching

Private health insurance

Life and disability insurance

Deutschlandticket subsidy

Dog-friendly office

Zusammenfassung

Vinted Group in Berlin is seeking a Decision Scientist for the Payments Intelligence team within Data Science & Analytics. You will shape payment products by turning data into actionable insights and partnering with stakeholders across the Payments unit.

The role requires SQL and Python, with experience in analytics; you will build self-service dashboards and monitor KPIs, contributing to a data-driven culture. The position is hybrid in Berlin with a generous benefits package.

Qualifikationen

• Experience in a Decision Science or Data Analytics role
• Fluent in English
• Strong analytical thinking and problem-solving skills
• Knowledge of statistical methods and A/B testing
• Experience with BI tools such as Looker/Tableau/Power BI
• Ability to present results to technical and non-technical audiences

Aufgaben

• Partner with team and stakeholders to identify opportunities and provide data-driven recommendations
• Test and analyse opportunities to validate value and impact
• Select, calculate, and monitor KPIs and investigate root causes
• Enable self-service dashboards for business insights
• Promote best analytics practices to drive data-driven decisions

Kenntnisse

Decision Science

Data Analytics

SQL

Python

Communicator

Tools

Looker

Tableau

Power BI

Jobbeschreibung

Data Science & Analytics

Berlin, Germany

Vinted Pay

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 Decision Scientist, you will work in a cross‑functional Payments Intelligence team that supports all Payments Business Unit across different domains. This role is part of the Data Science & Analytics (DSA) function, reporting to the DSA Manager for Payments Intelligence. You will play a key role in shaping our payments products by leveraging data to drive impactful decision‑making.

Currently, Payments is a 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

• Partner with your team and stakeholders at Vinted, to identify strategic opportunities and provide data‑driven recommendations, as well as answer critical business questions.
• Test and analyse developed opportunities to validate their value and understand their business impact, using statistical methods and visualisation tools
• Select, calculate, and monitor key performance indicators, proactively flagging issues, running analyses and understanding root causes
• Enable your team and direct stakeholders to independently leverage data for business insights via self‑service dashboards
• Contribute to a data‑driven culture by promoting best practices in analytics and decision‑making to make data count.

About you

• Experience in a Decision Science or Data Analytics role
• Good analytical thinking and problem‑solving skills, with the ability to balance depth of analysis with business impact
• Familiarity with SQL and Python
• Experience with BI tools (e.g., Looker, Tableau, Power BI)
• Knowledge of statistical methods, such as A/B testing, regression analysis, and other inferential techniques
• Highly results‑oriented and comfortable with iterative processes
• Strong communicator who can convincingly present results to both technical and non‑technical audiences
• Fluent in English, both written and spoken
• The opportunity to benefit from our share options programme
• 30 days of paid annual leave
• 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.

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: