Data Analyst (m/f/d)

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