Vinted

Data Analyst - Decision Scientist - Programs

Vilnius
Data & Analytics
€3,175 - €3,917

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

Join Vinted's Programs team to drive impactful initiatives across the Marketplace while focusing on high-impact projects spanning multiple product domains such as Electronics and Luxury Fashion. As a Senior Data Analyst, you will support initiatives from inception to execution and will be pivotal in providing data-driven decisions that aid product development and prioritise opportunities. Your role involves establishing best practices for experimentation and defining key metrics and objectives. Collaboration will be key as you work closely with the Manager of Data Science and Analytics, ensuring smooth execution of initiatives. This position offers the chance to contribute significantly to the long-term vision of the organization and make a tangible impact on its growth trajectory.

Job Requirements

To succeed in this role, you should thrive in solving complex problems within a dynamic environment and value making data-informed decisions that influence program strategies. A minimum of 2 years of experience in data analysis is required, along with a BSc or MSc in a relevant field. Proficiency in SQL is essential, and experience with programming languages such as Python or R is highly sought after. Strong communication skills in English are necessary for effectively conveying findings and recommendations. Experience with data visualization tools like Looker or Tableau, along with knowledge of e-commerce dynamics, will be advantageous in this position.

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