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:

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.

WHAT YOU'LL DO:

Analyze datasets to identify trends, uncover key performance drivers, and generate actionable insights.
Collaborate with data engineering teams to improve and streamline data pipelines.
Conduct statistical analysis to test hypotheses and validate findings.
Apply statistical modeling techniques to solve business problems and improve decision-making processes.
Translate complex data problems into clear solutions and communicate insights to stakeholders.
Develop and enhance self-service capabilities to empower non-analytics stakeholders to access, understand, and explore data independently.
Experiment with innovative approaches—such as AI-driven tools—to enhance speed and scale in analytics.
Collaborate with cross-functional teams, including product, engineering, and marketing, to align analytics efforts with organizational goals.

WHY YOU WILL ENJOY WORKING WITH US:

Our Culture and Values:

Decisions should be made based on facts and not by hierarchy levels? We sure think so!
We embrace giving and receiving feedback, testing and welcoming new ideas, as well as sharing our knowledge across the company.
You fail sometimes? Well, so do we! We’re all just human, let’s learn from our mistakes to improve in the future!
No matter who you love, where you’re from, who you pray to, whether you pee sitting down or standing up – we are a bunch of talented people who enjoy spending our time making a difference!

Personal & Professional Development:

You'll have access to a dedicated learning budget within your department to support your growth, whether it's courses, conferences, or other learning opportunities that matter to you.
We partner with Likeminded, offering you private sessions with experts for your personal growth and mental health.
We frequently host internal workshops, allowing our teams to further develop their skills in different areas and enhancing collaboration across departments.

Flexibility:

We care about a healthy work/life balance. We not only function and support a fully remote setting but also offer the possibility to work from our beautiful office in the vibrant heart of Vienna – we love dogs, so feel free to bring your furry little buddy too