Swan is the leading European fintech specialized in embedded banking. A laureate of the French government’s selective year list of tech champions, “French Tech Next 120,” we are quickly expanding across Europe.
Over 100 European companies have already seamlessly integrated banking services such as accounts, cards, and payments into their products through our Banking-as-a-Service platform. This approach, known as “embedded finance”, empowers businesses to elevate their offerings and create new revenue streams — often times tripling their revenue!
Our founders’ vision from the beginning was Simplicity: that anyone with a fintech idea at 2 am can visit our website, start building, and buy themselves a coffee with a self-issued card the very next day. That vision has taken us far.
That vision has taken us far. Following a 42M€ Series B extension, we have been doubling our headcount and already have over 280+ Swanees across offices in Paris, Bordeaux, Berlin, Barcelona, Amsterdam, and Milan!
To learn more about us: About Swan ; Our story.
In this role, you will join a dynamic Data Team within a fast-growing fintech scale-up, where you'll develop and deliver data-driven insights that shape our products and services. As a Data Analyst, you'll collaborate with cross-functional teams to analyze user behavior, detect patterns and trends while ensuring data quality along the way.
Our Data Team consists of passionate analysts and engineers who thrive on solving complex challenges. You'll be part of a collaborative environment where continuous learning is encouraged, and you'll have the opportunity to work with industry-standard tools and technologies in the fintech space.
✨ Your mission
Your primary mission is to support the Data team while gaining hands-on experience across the full Data Analytics stack. You will work on various projects that may include developing Streamlit applications for trend analysis and QA, contributing to financial data processing systems, and helping build data traceability tools. The specific focus will be tailored to match your skills and interests as well as the team's priorities, ensuring both valuable contributions to the team and meaningful learning opportunities.
✨ Main tasks
✨ Your team
Our team consists of 1 Data Engineer, 2 Analytics Engineers, 2 Data Analysts, and our VP of Data. We collaborate closely with various departments across the company, each focusing on different areas. While we operate as a centralized Data Team, we maintain strong communication to ensure everyone stays informed about team activities.
✨ You’re a great match if:
It’s okay if you don’t tick all the boxes — don’t let imposter syndrome prevent you from applying! 🙌
Swan is committed to providing a caring work environment for all employees, regardless of age, sex, disability, sexual orientation, race, religion, or belief.
When it comes to recruitment, we’re interested in your work experience, skills, and overall personality. Because diversity makes the workplace stronger and is necessary for Swan’s success, we are intensifying efforts to incorporate concrete actions to help us improve in this area.
✨ Perks of being a Swanee:
✨ Our values:
Swan’s core values guide our actions daily. Individually, they may seem obvious, but together, they form a unique culture.
Simplicity: Leonardo Da Vinci said: “simplicity is the ultimate sophistication.” If something's convoluted or confusing, we work extra hard to break it down. - Making complex things simple is what we do.
Long Term: We always play the long game, whether it's to support our partners in their growth journey, or make tangible commitments to climate action.
Excellence: We are a team of experts who consistently go all out to create pixel-perfect banking services and exceed our partners' expectations— whatever it takes.
Be Human: We believe in the power of kindness and the importance of acting with integrity. But embracing our humanity extends beyond interpersonal interactions, it means caring about greater issues that affect our planet.
You can find out more about our culture.