Marketing Data Analytics Working Student

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.

Why join Solaris?

• We are fundamentally redesigning banking processes around AI orchestration, standardized modular building blocks, and embedded regulatory compliance.
• We combine tech and banking in dedicated hubs - driving the technology infrastructure out of Berlin and banking operations out of Frankfurt.
• Through our internal mobility, growth opportunities, and the Solaris Academy, we offer continuous learning tracks, AI ambassador mentorship, and upskilling to keep your skills ahead of the curve.
• ⚖️ We foster a workplace rooted in integrity, proactive risk management, and equality actively driving initiatives like DEI initiatives.

Your Role

• 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.

We'd love to see

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.

Benefits

• Transparent framework to support your career goals
• Lunch reimbursement
• Mental health support via Thrive
• Flexible working model

While job ads usually paint an ideal picture of a candidate, studies show that most applicants meet an average of 60% of the criteria. Unfortunately, many promising candidates tend to apply only if they meet all the criteria. So if you think you have what it takes, but don't necessarily meet every single item in the job description, please contact us anyway. We'd love to talk with you and find out if you might be a good fit for us.

At Solaris, we are committed to nurturing an inclusive environment, where all Solarians feel valued, respected and supported. We are dedicated to building a diverse workforce that reflects the diversity of our communities. We are committed to equal employment opportunity regardless of color, ethnicity, religion, sex, origin, disability, marital status, citizenship, or gender identity. We are proud to be an equal opportunity workplace. If you have a disability or special need that requires accommodation, please let us know.

Information on data processing:

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The hourly rate for this working student position is:

€16—€17 EUR