About Pillar
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.
Responsibilities
•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".
Requirements
•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.
Nice to have
•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.
Conditions
•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.
