Senior Data Analyst

Summary

Join Europe's fastest-growing marketplace for refurbished products as a Data Analyst. You will analyze datasets to identify trends and generate actionable insights, collaborate with data engineering teams, create dashboards and reports in Looker, and conduct statistical analysis. This role requires a Bachelor's degree in a quantitative field, 5+ years of analytics experience, proficiency in analytics tools, and strong Python and SQL skills. We offer a flexible work environment, including fully remote options and a dog-friendly office in Vienna, along with unlimited LinkedIn Learning training and personal development opportunities.

Requirements

• 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

Responsibilities

• Analyze datasets to identify trends, uncover key performance drivers, and generate actionable insights
• Collaborate with data engineering teams to improve and streamline data pipelines
• Create and maintain dashboards and reports in Looker
• 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
• Collaborate with cross-functional teams, including product, engineering, and marketing, to align analytics efforts with organizational goals

Benefits

• Unlimited number of trainings through LinkedIn learning
• Partnership with Likeminded, offering private sessions with experts for personal growth and mental health
• Internal workshops to develop skills and enhance collaboration
• Fully remote work option
• Option to work from office in Vienna (dog-friendly)
• Flexible work schedule (self-organized)
• Office weeks three times a year with team-building events and workshops