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 Data Analyst to join our Data team, led by Romain, our VP Data. The team has 9 people across data engineering, analytics engineering and data analysis. This is a hybrid role. Half of it is being a business partner: you'll work hand in hand with your stakeholders, help them ask the right questions, and turn data into recommendations that shape their decisions. The other half is making data work better at Swan. As our team has grown, so has the variety in how we build dashboards, define KPIs and document our work. You'll lead the effort to harmonize these practices and bring the team along with you. You'll also run initiatives that help the rest of Swan get more value from data, such as Metabase training and data onboarding for new Swanees. Think of it as RevOps for data: you'll shape not only what we deliver, but how we work. ✨ Your mission Your mission has two sides: Data analysis: Business partner & project lead: Work hand in hand with your stakeholders to understand their priorities and help them frame the right questions. Lead data projects end to end, from scoping to delivery, and turn analyses into recommendations that shape their decisions. Owner of your domain's data logic: Make sure the data in your scope reflects how the business really works. Define and maintain KPIs, investigate edge cases, write clear specifications for the modeling logic, and safeguard data quality. When needed, you'll build the dbt models yourself. Data product manager for your dashboards: Build and maintain the Metabase dashboards and EXCO reports for your domain. Treat them as products: understand how they're used, keep them reliable and relevant, and retire what's no longer needed. Data Enablement & Operations: Turn ideas into delivered projects: Take improvement ideas from across the team, including…