Today we are 80+ people, we serve **+ customers, we raised €12 million in *
* and we are expanding internationally. We are building the financial operating system for construction: bringing AI, automation and modern software to a huge industry that still runs on slow, fragmented processes. We are looking for a Product Data Analyst who loves getting their hands dirty with data and helping the people around them make better decisions with it. Our data is growing as fast as our customer base. Invoices, cash flows, job sites, payments: every day thousands of construction companies trust us with the numbers that run their business. You'll help us agree on what we measure, how we measure it and where the truth lives, so that every team can move fast and trust what they see. Be the data partner our product teams can count on. You won't be the one making business decisions, but you will make sure every decision is built on data that is reliable, shared and easy to understand. Make sure the data exists. Work with Engineering on tracking requirements, so the data we need is there before a feature ships, not after. Challenge the day-to-day product roadmap with data, and support bigger strategic bets with insights on our customer base: who they are, how big they are, public or private work, tenders. In your first months you'll work closely with CS on our customer health score (usage, CS sentiment, ICP fit), back-test it on churned customers and help find the signals that predict churn early. Take questions from Product, Customer Success,



Sales and leadership and turn them into clear analyses with a concrete "so what". If it doesn't help a decision, we don't build it. Not data science. A separate team works on data pipelines, invoices and the Pillar price list. When an event is missing or a question is fuzzy, part of the job is figuring out what data we need and how to get it. Not a service desk. in product or data analytics in a SaaS startup or scaleup. Fluent in SQL. Python for analysis and automation is a big plus. From raw data to the final dashboard. Raw tables, JSON and messy databases don't scare you, and you can get what you need without a dedicated data engineer. Experience with at least one BI tool (Metabase, Looker, Tableau or similar). Product analytics tools like PostHog, Amplitude or Mixpanel are a plus. You solve problems on your own, and when something is missing you go and find it. You can explain a complex analysis to an engineer and to a construction company owner. AI is already part of how you work, and you know when to double check what it tells you. native Italian or Spanish, plus professional working English. experience in fintech, B2B or vertical SaaS, or a curiosity for construction. Pillar may not be the right place if you need a fully defined scope or a mature data team around you from day one. Here, you help build it. 2k welfare budget and fringe benefits and meal vouchers (8 €/day). The chance to shape Pillar's data culture as we scale. 60-min Technical interviewwithour Senior Data Analyst: SQL, data modelling and how you reason through a problem and Live Case study (a real data problem from our world)

📌 Data Analyst (España)
🏢 Pillar
📍 España