Marketing Data Analytics Working Student
Quick Summary
Solaris is Europe’s leading embedded finance platform, pioneering Banking-as-a-Service to bridge the gap between financial technology and licensed banking. Founded in 2016 and headquartered in Berlin,
Solaris is Europe’s leading embedded finance platform, pioneering Banking-as-a-Service to bridge the gap between financial technology and licensed banking. Founded in 2016 and headquartered in Berlin, Solaris enables fintechs, digital ecosystems, and multinationals to embed accounts, cards, lending, and payments directly into their own products, creating seamless financial experiences for their users. As a fully licensed German bank, Solaris combines the highest standards of IT security and regulatory resilience with a modular, highly scalable infrastructure.
Today, Solaris is driving the next evolution of financial services by transitioning into an AI-native banking platform, ensuring European businesses can deploy secure, adaptable financial products at scale.
What We Offer
~2 min read- Cleaning and preparing data (basic ETL work, structuring datasets).
- Routine and simple reporting using Snowflake and Tableau.
- Provide data for ad-hoc / one-off campaigns to the CRM Manager.
- Ad-hoc reporting requests from Management or Partners.
- Documenting Marketing data processes.
- Helping with automation tasks, such as small scripts to process data.
- Support AI initiatives within the Marketing department.
Depending on your level of experience, your responsibilities and scope of role will range. We don’t care much about fancy titles, but rather about real personal and professional development, as laid out in our learning framework. Let’s figure together out how you can contribute to our team.
- Currently enrolled as a student (Bachelor’s or Master’s), preferably in Economics, Finance, Mathematics, Data Analytics or a related field.
- First practical experience (e.g., through internships) in finance, banking, or data analytics is an advantage, but not strictly required.
- Strong analytical and problem-solving skills.
- Advanced knowledge of SQL or Python is an advantage.
- High interest in data analytics and banking.
- Comfortable working with AI tools, thinking critically about AI outputs, and contributing to a culture of responsible AI use.
- Well organized and able to work autonomously on assigned tasks.
- Fluent in English, German is a plus.
- Good communication skills to be able to align and understand stakeholder requirements.
- Able to work in cross-functional teams.
- Problem-solving and critical thinking.
Location & Eligibility
Listing Details
- Posted
- September 15, 2026
- First seen
- September 15, 2026
- Last seen
- September 15, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 54%
- Scored at
- September 15, 2026
Signal breakdown
Please let Solaris know you found this job on Jobera.
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