Senior Decision Scientist/Data Analyst

Information about the position

You will work in a cross-functional product team focused on Vinted Pay, collaborating closely with a Product Manager, an Engineering Manager, and Engineers. This role is part of the Data Science & Analytics (DSA) function, reporting to the DSA Manager for Vinted Pay. You will play a key role in shaping our payments products by leveraging data to drive impactful decision-making.

Currently, Vinted Pay 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 driven and caring colleagues.

In this position, you’ll

• Partner with one or two product teams 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 your team's key performance indicators, proactively flagging issues, running analyses and understanding root causes
• Propose, align and implement experimentation strategies for more complex product releases that ensure data-driven product development
• 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, Data Analytics, Data Science, or other similar roles focused on data-driven analysis, experimentation, and applied statistics
• Excellent analytical thinking and problem-solving skills, with the ability to balance depth of analysis with business impact
• Strong SQL skills
• Strong Python skills, familiar with Jupyter notebooks
• Experience with BI tools (e.g., Looker, Tableau, Power BI)
• Strong statistics: knowledge of statistical methods, relevant academic background (such as statistics or econometrics university courses), experience running A/B tests, 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
• Previous experience working in cross-functional teams preferred

Work perks

• The opportunity to benefit from our share options programme
• 25 working days of holiday
• Access to all the tools & tech needed for work
• Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
• Private health insurance
• Mental and emotional health support through the Mindletic app
• Frequent team-building events
• A personal monthly budget for shopping on Vinted
• The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
• A dog-friendly office
• In Vilnius office: Gym & in-house meals at friendly prices
• In Kaunas office: a monthly lunch allowance, and a once-a-week provided in-house lunch and breakfast

Working at Vinted

Individual Learning Budget

We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more.

Hybrid Work

We’ve adopted a hybrid workplace model where 2 days in office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.

Equal Opportunity

The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.