Product data analyst for construction finance

Pillar was founded in 2025. Today we are 80+ people, we serve 1000+ customers, we raised €12 million in 2026 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.

• Help the Product team define goals, success metrics and how to track them over time.
• Work with Engineering on tracking requirements, so the data we need is there before a feature ships, not after.
• Create shared dashboards everyone can rely on, and bring a healthy double check to what AI tools generate.
• 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".

• 3 to 5 years in product or data analytics in a SaaS startup or scaleup.
• Fluent in SQL. This one is non-negotiable.
• Hands-on, end to end. 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).
• At home with SaaS metrics: activation, adoption, retention, churn, expansion, and how they connect to revenue.
• Proactive by nature. You solve problems on your own, and when something is missing you go and find it.
• A clear communicator. You can explain a complex analysis to an engineer and to a construction company owner.
• AI-native. AI is already part of how you work, and you know when to double check what it tells you.
• Languages: native Italian or Spanish, plus professional working English.
• Будет плюсом: Python for analysis and automation is a big plus; Product analytics tools like PostHog, Amplitude or Mixpanel are a plus; experience in fintech, B2B or vertical SaaS, or a curiosity for construction

• Small squads, high autonomy, no unnecessary layers.
• AI-first, in the product and in the way we work.
• Bottom-up: initiative is expected, not delegated.
• We are direct, we give context instead of micromanagement, and we prefer an honest truth to an optimistic slide.
• 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.
• Gross salary 40-50k €.
• [For Italy] €2k welfare budget and fringe benefits and meal vouchers (8 €/day).
• The chance to shape Pillar's data culture as we scale.
• Real ownership, with direct exposure to customers, founders and leadership.
• An AI-native team where you can grow as fast as the company does.