Data Analyst (m/f/d)
Indexed description
But where does that take you?
To one of our 30 hybrid workspaces – designed for exchanging ideas, learning from others, and shaping the way we work. An international community of over 4,000 people, representing almost 80 nationalities across 11 countries. United by one mission: Combining empathy, advanced technology and data-driven insights to keep people and businesses in flow. With payments made for them. So that they don't have to worry about it.
And there's more: We are part of the family-owned Bertelsmann group. Established. Corporate. In a fast-paced industry. We enable flexible payments in various industries, simplifying the financial management of known brands and helping people repay debt to build financial confidence. In short: shaping FinTech.
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
- 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
- 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
We want to be a fair and inclusive employer. We value the diverse perspectives that a diverse workforce brings to the table. Therefore, we are actively looking for people who enrich our company through their identity, background and personal experiences, with or without a disability.
Benefits:
- At Riverty, you can be who you are. We are committed to creating an inclusive environment and a culture of appreciation, enriched by our employee networks.
- Prioritize your health with supported sports and leisure activities.
- Take advantage of our numerous training and development opportunities! Enhance your skills with training offered by the Bertelsmann University, language courses, or leadership training.
- Benefit from our discounts on Bertelsmann products and financial incentives.
- With our diverse work models, you can tailor your work to your preferences. Take advantage of mobile office, flexible working hours, and part-time models.
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