[Hiring] Product Analyst @ refurbed

Role Description

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 every day. To enable this high-performance, every team member enjoys full autonomy over their location (we’re remote-first).

Qualifications

• Bachelor’s degree in a quantitative field.
• Minimum of 5 years of experience in analytics.
• Proficiency in analytics and BI tools (e.g. 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.

Requirements

• 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.

Benefits

• Decisions should be made based on facts and not by hierarchy levels.
• We embrace giving and receiving feedback, testing and welcoming new ideas, as well as sharing our knowledge across the company.
• We learn from our mistakes to improve in the future.
• We are a diverse team that enjoys making a difference.
• Access to a dedicated learning budget within your department for courses, conferences, or other learning opportunities.
• Private sessions with experts for personal growth and mental health through our partnership with Likeminded.
• Internal workshops to further develop skills and enhance collaboration across departments.
• Fully remote setting with the option to work from our office in Vienna.
• Self-organization and flexibility in work hours.
• Participation in office weeks for team-building events and on-site workshops.