Finance & Data Analyst
· AMSTERDAM, Netherlands ·
- Category
- Data analytics
Insify, an Amsterdam-based AI-powered SME insurance scale-up, is hiring a Finance & Data Analyst to turn raw financial and operational data into actionable insight and help build the finance function. Day to day this means reconciling datasets, validating numbers, and explaining discrepancies, in a small team with a direct line to leadership.
Finance & Data Analyst
Amsterdam
Help us build the finance function of the future
Insify is looking for a Finance & Data Analyst who turns raw financial and operational data into clear, actionable insight, and who helps build how we do that. You get real ownership, a small team and a direct line to leadership. And the room to do it better than you are used to. About Insify
Insify is a high-growth scale-up backed by €43M in total funding from world-class investors like Accel, Munich Re Ventures, and Formula 1 champion Nico Rosberg. In five years, we've expanded from the Netherlands into France and Germany, and we're just getting started. Our mission: become the European leader in AI-powered SME insurance.
We aren't just building a company; we're leading a revolution. Our culture is intense, high-stakes, and mission-driven. We hire smart, ambitious "owners" who possess a relentless drive to win. This is an environment for those who thrive on challenges, value intellectual honesty, and share our mindset of becoming a global category leader.
Our founding team consists of seasoned entrepreneurs who have previously built iconic businesses like HelloFresh, Bloomon, and SumUp. We bring that same bias for speed, scale, and high standards to one of the most structurally broken experiences in financial services. Together, we combine that deep fintech and e-commerce expertise with cutting-edge AI to stay ahead of the curve.
Technology and data are in our DNA, and finance is where a multi-entity, multi-carrier business either holds together or does not. That is why we build our finance function ourselves, with people who know how it can be done better. That means you. Your role
You are good at what you do. You know how to reconcile a messy dataset, when a number deserves a second look and how to explain a discrepancy to someone who does not live in spreadsheets. What you are probably missing is influence over how that work is organised:...
Amsterdam
Help us build the finance function of the future
Insify is looking for a Finance & Data Analyst who turns raw financial and operational data into clear, actionable insight, and who helps build how we do that. You get real ownership, a small team and a direct line to leadership. And the room to do it better than you are used to. About Insify
Insify is a high-growth scale-up backed by €43M in total funding from world-class investors like Accel, Munich Re Ventures, and Formula 1 champion Nico Rosberg. In five years, we've expanded from the Netherlands into France and Germany, and we're just getting started. Our mission: become the European leader in AI-powered SME insurance.
We aren't just building a company; we're leading a revolution. Our culture is intense, high-stakes, and mission-driven. We hire smart, ambitious "owners" who possess a relentless drive to win. This is an environment for those who thrive on challenges, value intellectual honesty, and share our mindset of becoming a global category leader.
Our founding team consists of seasoned entrepreneurs who have previously built iconic businesses like HelloFresh, Bloomon, and SumUp. We bring that same bias for speed, scale, and high standards to one of the most structurally broken experiences in financial services. Together, we combine that deep fintech and e-commerce expertise with cutting-edge AI to stay ahead of the curve.
Technology and data are in our DNA, and finance is where a multi-entity, multi-carrier business either holds together or does not. That is why we build our finance function ourselves, with people who know how it can be done better. That means you. Your role
You are good at what you do. You know how to reconcile a messy dataset, when a number deserves a second look and how to explain a discrepancy to someone who does not live in spreadsheets. What you are probably missing is influence over how that work is organised:...