## We are looking for a Data Analyst (m/f/d) (unlimited, full-time) Join our team at our location in Berlin, Verl, Baden-Baden, or Oslo – hybride working conditions available. ## What will be your challenge in the role: - Explore large datasets, evaluate the data quality and model data for analytical use cases - Apply statistical methods to understand consumer behavioral patterns relevant for product development and operational efficiency - Analyze problems to understand their root cause - Work with Data Scientists and Data Engineers to build and implement analytical solutions - Collaborate on data-related projects - Visualize data and turn data into stories - Derive actionable insights, provide decision support, and make recommendations based on data-driven insights - Consult business units and functional units, such as product or commercial teams in data and analytical related questions - Contribute to analytical engineering, ensuring meaningful, robust and sustainable data products ## What you need to succeed in the role: - Master/MBA degree in numerate subject (e.g. Data Science, Mathematics, Informatics, Economics, Natural Science or Engineering) - 2+ years of hands-on experience in data analysis roles within Data & Analytics solutions - Exceptional analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy - Experience in a programming language such as SQL, Python or R - Solid understanding of data modeling and analytical engineering concepts, ideally with experience in dbt, Airflow or similar tools - Consulting skills, especially strong ability to provide insights and recommendations - Strong critical thinking skills, ask the right questions and reason analytically - Ability to identify issues, structure and conduct necessary analysis, and draw well-informed conclusions - Ability to balance multiple priorities, be detail-oriented, work independently, and meet deadlines in a fast-paced environment - Excellent Team player ## Nice if you have: - Experience in cluster analysis and machine learning - Experience within the payments, risk or factoring space - Experience with modern data stacks, preferably Databricks - Experience in quantitative research - Understanding of how to perform data extraction and manipulation - Ambition to develop as a professional in an entrepreneurial organization that provides opportunity to work with your areas of interest