Senior Data Analyst

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 Senior Ops Data Analyst to join our Data team. The current team is led by Romain, our VP data, and consists of 9 members with expertise in Data Engineering, Analytics Engineering and Data Analytics.

As an Ops Data Analyst, you will collaborate closely with the Ops team, becoming a key partner in both daily operations and strategic initiatives. This role offers a unique opportunity to work alongside the Strategic Account Manager team and our Partners to understand user needs, enhance product performance, and ensure an optimized user experience. Your analytical expertise will play a crucial role in delivering meaningful improvements.

✨ Your mission

• Collaborate closely with Ops Team to identify optimization areas that directly impact the growth of our clients.
• Write actionable insights and recommendations.
• Build reusable data marts and dashboards.
• Perform deep dive analysis of each part of our users' funnel, delivering actionable insights and recommendations that directly impact Swan’s client growth.
• Gain adoption and buy-in from Product Managers to implement changes, monitoring project progress and its impact.
• Communicate findings and results to key stakeholders.
• Actively participate in day-to-day data operations, including generating and maintaining weekly/monthly reports, identifying and addressing data quality issues, answering ad-hoc questions, and prioritizing data requests.

Preferred experience

✨ You’re a great match if:

• Minimum of 4/5 years of experience in Data Analytics, with a preference for prior involvement in the fintech industry and/or B2B SaaS environments.
• Strong proficiency in SQL and familiarity with BI tools.
• Preferably, experience in working with Airflow and DBT.
• Demonstrated ability to effectively manage projects and engage with stakeholders.
• Strong communication and collaboration skills.
• A commitment to team spirit, transparency, and trustworthiness is important, as we value a collaborative and supportive company culture.
• Autonomy, a "Can-do" spirit, and the ability to take initiative and ownership of your work are required.
• Passion, curiosity, and the capacity to learn quickly are important, as we are constantly exploring new technologies and approaches to improve our work.
• 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

•  Meal Vouchers: We provide a Swile card to cover your meals on work days. 🥗
• Holidays : 25 days + RTT 🏝️
• Transport: Monthly mobility package for employees. In accordance with the company agreement for sustainable mobilities, you can now use your mobility package to pay for alternative commuting modes. 🚇
• Health insurance (mutuelle): Alan. This is Swan's health and welfare insurance. 🚑
• Sports: Thanks to our partnership with Classpass and Gymlib, you can enjoy advantageous discounts on subscriptions. They offer a wide range of sports activities as well as wellness activities. The offers are valid in several European cities, as well as online. 🏋
• Hybrid remote policy: We offer the possibility of working from home for 2 days per week. 🏡
• Offsite: Once a year we gather to 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
• Meet the team for 45 minutes
• Technical Interview for 1H
• Meet Romain, the VP Data, your direct manager