Senior Data Analyst

Senior Data Analyst

Verl Vollzeit 43200 - 84000 € / Jahr (geschätzt) Kein Home Office möglich
R

Auf einen Blick

  • Aufgaben: Dive into data, analyze trends, and collaborate on impactful projects.
  • Arbeitgeber: Join Riverty, a leading fintech focused on innovative financial solutions.
  • Mitarbeitervorteile: Enjoy remote work, flexible hours, exclusive discounts, and personal development opportunities.
  • Warum dieser Job: Be part of a human-centric team transforming finance with your insights and creativity.
  • Gewünschte Qualifikationen: 5+ years in data analysis, strong programming skills, and a relevant master's degree required.
  • Andere Informationen: Experience in payments or modern data stacks is a plus.

Das voraussichtliche Gehalt liegt zwischen 43200 - 84000 € pro Jahr.

Job Description

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.

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.

Job Title:

Senior Data Analyst (m/f/d)

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 to 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

Senior Data Analyst Arbeitgeber: Riverty Group GmbH

At Riverty, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is reflected in our extensive training programs and flexible working conditions, allowing you to thrive both personally and professionally. With a focus on work-life balance and a supportive environment, we empower our team members to make meaningful contributions to the future of finance.
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Kontaktperson:

Riverty Group GmbH HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Senior Data Analyst

✨Tip Number 1

Make sure to showcase your experience with large datasets and statistical methods in your conversations. Highlight specific projects where you've successfully analyzed consumer behavior or improved operational efficiency.

✨Tip Number 2

Familiarize yourself with the fintech landscape, especially in areas like payments and risk management. This knowledge will help you connect your skills to Riverty's mission of empowering financial growth.

✨Tip Number 3

Prepare to discuss your experience with programming languages like SQL, Python, or R. Be ready to provide examples of how you've used these tools to derive actionable insights from data.

✨Tip Number 4

Emphasize your consulting skills and ability to communicate complex information clearly. Practice explaining your analytical findings in a way that is accessible to non-technical stakeholders.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Analyst

Data Analysis
Statistical Methods
SQL
Python
R
Cluster Analysis
Machine Learning
Data Extraction and Manipulation
Attention to Detail
Problem-Solving Skills
Consulting Skills
Communication Skills
Project Management
Data Visualization
Ability to Work Independently
Time Management

Tipps für deine Bewerbung 🫡

Understand the Company Culture: Take some time to research Riverty's mission and values. Highlight how your personal values align with their commitment to innovative and user-friendly financial solutions in your application.

Tailor Your CV: Make sure your CV reflects your 5+ years of experience in data analysis roles. Emphasize your proficiency in SQL, Python, or R, and any relevant projects that showcase your ability to derive actionable insights from large datasets.

Craft a Compelling Cover Letter: In your cover letter, discuss specific examples of how you've used statistical methods to understand consumer behavior or led data-related projects. Show your enthusiasm for contributing to a human-centric fintech environment.

Highlight Communication Skills: Since extraordinary communication skills are essential for this role, provide examples in your application of how you've effectively conveyed complex information and collaborated with diverse teams in previous positions.

Wie du dich auf ein Vorstellungsgespräch bei Riverty Group GmbH vorbereitest

✨Showcase Your Analytical Skills

Be prepared to discuss your experience with data analysis in detail. Highlight specific projects where you applied statistical methods or machine learning techniques, and be ready to explain the impact of your work on product development or operational efficiency.

✨Communicate Complex Ideas Simply

Since extraordinary communication skills are essential for this role, practice explaining complex data concepts in a straightforward manner. Use examples from your past experiences to demonstrate how you effectively conveyed insights to non-technical stakeholders.

✨Demonstrate Team Collaboration

Riverty values collaboration across diverse teams. Prepare examples that showcase your ability to work with Data Scientists, Data Engineers, and business units. Discuss how you contributed to data-related projects and fostered a culture of data-driven decision-making.

✨Prepare for Behavioral Questions

Expect questions that assess your problem-solving abilities and how you handle multiple priorities in a fast-paced environment. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your attention to detail and ability to meet deadlines.

Senior Data Analyst
Riverty Group GmbH
R
  • Senior Data Analyst

    Verl
    Vollzeit
    43200 - 84000 € / Jahr (geschätzt)

    Bewerbungsfrist: 2027-03-10

  • R

    Riverty Group GmbH

    100 - 250
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