Data Analyst - Decision Scientist Seller Intelligence

Company:

Vinted Marketplace is the largest online international C2C marketplace in Europe dedicated to second-hand fashion, with millions of registered members spanning 20+ markets in Europe and North America. With a mission to make second-hand the first choice worldwide, Vinted enables people to sell and buy second-hand clothes and lifestyle items from each other, helping give those items a second or even third life. Vinted Go launched in 2022, with a focus on developing products and solutions for more seamless shipping and delivery across Europe.
The Vinted Group, composed of Vinted Marketplace and Vinted Go, is headquartered in Vilnius, with workplaces in Germany, Lithuania, France, the United Kingdom, the Netherlands and over 2,000 employees.

Role:

Job Description

As a Decision Scientist in the Seller Intelligence team you will engage in analytical projects aiming to understand and meet the needs of sellers ensuring that data is readily available across the domain. You will collaborate with a distributed team based in Vilnius and Berlin alongside cross-functional product teams within the Seller domain. The role involves working in an evolving environment and dynamically shifting focus based on project priorities while being part of a Data Science & Analytics guild fostering learning and collaboration. Your contributions will enhance decision-making processes through data insights and you will work closely with stakeholders to leverage data effectively ensuring optimal answers to strategic business questions.

Job Requirements

To be eligible for this position you should have a BSc or MSc in a related area such as statistics or mathematics or equivalent experience typically around 2 years in fields such as Decision Science or Data Analysis. Proficiency in SQL and a statistical programming language like Python or R is necessary alongside experience with BI tools like Looker or Tableau. Successful candidates will demonstrate statistical skills including A/B testing and regression analysis and excel in combining data insights with business strategy to provide actionable recommendations. Strong communication skills are essential as well as the ability to engage effectively with diverse stakeholders and proficient English is required.