Data Analyst Apprentice
SwanAbout the role
About
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.
Job description
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
- Building and maintaining a data pipeline and dashboards to track the key business metrics and KPIs
- Conducting in-depth analyses, modeling data from ingestion to implementation, and scaling our data infrastructure.
- Gradually take ownership of the specific data analysis projects mentioned before
- Support the development of Streamlit applications for trend analysis and quality assurance
- Create and maintain clear technical documentation of data processes that stakeholders can easily understand and use
- Collaborate with cross-functional teams, mainly finance, sales, and product, to understand their data needs and provide insights
✨ 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.
Preferred experience
✨ You’re a great match if:
- You are a student pursuing a Master’s or Bachelor's degree, looking for an apprenticeship.
- You are a problem solver, taking ownership of it and not quitting until finding a solution.
- You praise collaboration as a way to succeed, with a team spirit and a can-do attitude.
- Flexibility to adapt to changing requirements in an evolving and fast-paced environment.
- You have previous working experience with SQL. Knowledge of Python is a plus.
- You are comfortable working in an English-first environment
- Our ideal teammate: Empathetic. Skilled. Frank. We love to challenge each other, and we leave our egos at the door.
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
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