Karrierechance: Werde Data Analyst (m/f/d) bei Riverty Group GmbH in Baden-Baden

We are looking for a

Data Analyst (m/f/d)

(unlimited, full-time) Join our team at our location in Berlin, Verl, Baden-Baden, Oslo or Stockholm – flexible working conditions available

What will be your challenge in the role:

• Explore large datasets, evaluate data quality, and model data
• Apply statistical methods to understand consumer behavioral patterns relevant to product development and operational efficiency
• Analyze problems to identify root causes
• Work with Data Scientists and Data Engineers to build and implement analytical solutions
• Collaborate on data-related projects
• Visualize data and transform it into compelling stories
• Derive actionable insights, provide decision support, and make recommendations based on data-driven insights
• Advise business units and functional teams, such as product or commercial teams, on data-related questions

What you need to succeed in the role:

• Consulting skills, with a particular ability to provide insights and recommendations
• Exceptional analytical skills, with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Ability to identify issues, structure and conduct the necessary analysis, and draw well-informed conclusions
• Experience in a programming language such as SQL, Python, or R
• Ability to balance multiple priorities, be detail-oriented, work independently, and meet deadlines in a fast-paced environment
• Excellent team player
• Master’s/MBA degree in numerate subject (e.g., Data Science, Mathematics, Informatics, Economics, Natural Sciences, or Engineering)

Nice if you have:

• At least 2 years of hands-on experience in data analysis roles within Data & Analytics solutions
• Experience with cluster analysis and machine learning
• Experience in the payments, risk, or factoring space
• Familiarity with modern data stacks, preferably Databricks
• Experience in quantitative research
• Understanding of data extraction and manipulation
• Ambition to develop as a professional in an entrepreneurial organization, with opportunities to work on your areas of interest