Founded in 2017, refurbed is Europe’s fastest-growing marketplace for refurbished products, active in 12 European countries and having surpassed €2Bn in GMV — all while being profitable. With beautiful headquarters in Vienna, we operate as a remote-first company, and our 250+ employees enjoy up to two months of workation per year. We’ve also been recognised as a Top DACH Employer by Kununu for three consecutive years.
Our mission is to make sustainable consumption the easy choice by enabling customers to buy products up to 40% cheaper while significantly reducing CO₂ emissions.
If you thrive in an environment that values momentum, ownership, and impact, you’ll feel at home here. We’re a fast-paced, high-performance team that works hard and challenges itself everyday. To enable this high-performance every team member enjoys full autonomy over their location (we’re remote-first).
WHO YOU ARE:
Bachelor’s degree in a quantitative field.
Minimum of 5 years of experience in analytics.
Proficiency in analytics and BI tools (eg. Looker, Tableau, or PowerBI).
Experience working with large datasets and SQL for data extraction and manipulation.
Strong experience with Python for data analysis, scripting, and statistical modeling.
Familiarity with cloud-based data storage and tools (e.g. BigQuery).
Intermediate understanding of statistical methods, including regression, clustering, and hypothesis testing.
Intermediate understanding of statistics and how to interpret different outputs across various data science models.
Proven track record of driving strategic impact through data-driven insights.
Excellent problem-solving and critical-thinking skills with strong attention to detail.
Effective communication and presentation skills to convey complex data insights to both technical and non-technical audiences.
Location & eligibility: This role is open to Europe-based candidates only with a valid right to work.