Job Description

### 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.


Following a 38M€ Series B round last September, we have been doubling our headcount and already have over 230 Swanees across offices in Paris, Bordeaux, Berlin, Barcelona, Amsterdam, and Milan! If you’re excited about joining a European fintech adventure, Swan is the way!

To learn more about us: About Swan ; Our story.

### Job description

  

Swan is looking for a full-stack Data Analyst to join its Data team. The current team is led by Romain, our VP data, and consists of 8 members with expertise in Data Engineering, Analytics Engineering and Data Analytics.


You will work primarily on a wide range of finance-related topics, cross-functionally with Finance, Billing, Revops, Growth, and on company reporting. Occasionally, you will also support People team on all data-driven initiatives. This is a unique opportunity to design and build crucial data products from the ground up, and lead data projects that support strategic business goals on a company level.

  

Your mission

* Analytics Engineering
* + Design and implement data models and workflows to improve existing processes (Accounting Report, Revenue & Cost Report, etc).
	+ Ensure data integrity and quality by adhering to engineering best practices and making sure the models are tested, documented and easy to use.
* Data Analytics
* + Develop and maintain dashboards, reports, and metrics that provide actionable insights for financial performance and people analytics.
	+ Conduct ad-hoc analysis for domain-specific business questions.
	+ Become the go-to data person and support data-driven decision-making across their departments on a daily basis.
* Help shape our data strategy by actively contributing to internal guidelines and best practices, suggesting process enhancement and adoption of new tools.

### Preferred experience


You’re a great match if:

* You should have a minimum of 3 years of experience as a Data Analyst, Analytics Engineer, or equivalent.
* Strong proficiency in SQL and hands-on experience in data modelling.
* Excellent analytical skills and attention to detail, with the ability to translate complex data into actionable insights and recommendations.
* Proven experience in project and stakeholder management, able to own projects from conception to execution with minimal supervision.
* Great communication skills, with the ability to present complex data to non-technical stakeholders in English.
* Passion, curiosity, and the capacity to learn quickly are important, as we are constantly exploring new technologies and approaches to improve our work.
* Ideally, you have already worked with DBT and a BI tool (Metabase, Looker, Tableau, etc).
* Ideally, you have already worked in functional domains like Finance and GTM (Sales/Marketing).
* Ideally, you have already worked in Fintech sector.
* 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 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.*

### About Swan

  

Perks of being a Swanee:

  

* Hybrid remote policy: We offer the possibility of working from home for 2 days per week.
* The best health insurance: Alan
* Swan encourages you to have fun staying fit, thanks to partnerships with Classpass & Gymlib.
* We respect your lunch break. Mid-day free-time is sacred and our French office even provides a Swile card to cover your meal on work days.
* Twice a year we go somewhere gorgeous (a chateau, a mountain) where we reconnect, deep-dive into big topics, and relax.
* This isn’t a perk, it should be the rule, but diversity and inclusion are important at Swan. We’re working hard to get better every day.

  

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.

### Recruitment process

* A 30-min video call with our Talent Acquisition Manager, to get to know you, understand your career expectations and answer your questions
* A technical interview
* A peer interview
* An interview with our VP Data