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Senior Data Analyst (m / f / d)

Senior Data Analyst (m / f / d)

Riverty Group GmbHBaden-Baden, Baden-Württemberg, DE
Vor 7 Tagen
Gehalt
33,00 € stündlich
Stellenbeschreibung

At Riverty, we believe that everyone should be in control of their own financial situation. Our shared commitment is to make financial solutions more innovative, empathetic and user-friendly to empower financial growth for everyone. To do this, we rely on 50 years of experience and the commitment of over 5,000 creative minds, innovators and explorers in 11 countries.

Die folgenden Informationen sollen potenziellen Bewerbern ein besseres Verständnis der Anforderungen für diese Stelle vermitteln.

Are you ready?

As part of our community, you will have the opportunity to develop your skills and transform the world of finance together with us. We create an environment where you can evolve personally and benefit from our flexible working conditions and work-life balance.

Everything we do, starts with you. Together with you, we build the most human-centric fintech. To enable everyone’s future financial growth.

We are looking for a

Senior 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

Key Responsibilities :

Explore large datasets, evaluate the data quality and model data

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 related questions

Drive, manage and lead data related projects while fostering a culture of data-driven decision-making across the organization.

Your Profile :

5+ years of hands-on experience in data analysis roles within Data & Analytics solutions

Master / MBA degree in numerate subject (e.g. Data Science, Mathematics, Informatics, Economics, Natural Science or Engineering)

Proficient in a programming language such as SQL, Python or R

Experience in cluster analysis, machine learning

Understanding of how to perform data extraction and manipulation

Advanced in collecting, organizing, analysing, and disseminating significant amounts of information with attention to detail and accuracy

Ability to identify issues, structure and conduct necessary analysis, and draw well-informed conclusions

Consulting skills, especially strong ability to provide insights and recommendations

Extraordinary communication skills to effectively convey complex information and collaborate with diverse teams

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 within the payments, risk, debt collection or factoring space

Experience with modern data stacks, preferably Databricks

Experience in quantitative research

Benefits :

Mobile Office : Opportunity to work from home

Discounts & Extras : Exclusive Bertelsmann discounts and financial benefits, e.g., €1,500 referral bonus

Flexible Working Hours and Models : Customize your working hours to suit your needs

Training & Development : A variety of (online) courses, from language learning to leadership training, e.g., from Bertelsmann University

Health & Leisure : Supported sports and (mental) health programs, e.g. from our partner TELUS Health

Appreciative Environment : Diversity and employee networks enrich our culture

EUR33

Equal Opportunity Employer Statement

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.