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
