Senior Decision Scientist/Data Analyst (Vinted, UAB)
Darbdavys: Vinted, UAB
Miestas: Vilnius
Paskelbta: 2026-10-25
💶 4608 - 6233 €/mėn. Prieš mokesčius · visa darbo diena · paskelbta 2026-10-24
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Job description:
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
Requirements:
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
Company offers:
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…
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
Requirements:
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
Company offers:
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…