Senior Decision Scientist/Data Analyst (Eligible for Limited-time Relocation Bonus)

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.

• 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

• 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

Nice to have

• Previous experience working in cross-functional teams preferred

• 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 9540 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