Product Data Analyst

15 ott - Milano
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.

Why this role, why now
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.

The mission
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.

What you will do
• Shape goals and KPIs.



Help the Product team define goals, success metrics and how to track them over time.
• Make sure the data exists. Work with Engineering on tracking requirements, so the data we need is there before a feature ships, not after.
• Build one source of truth. Create shared dashboards everyone can rely on, and bring a healthy double check to what AI tools generate.
• Support both roadmaps. 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.
• Start close to Customer Success. 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.
• Turn questions into answers. Take questions from Product, Customer Success, Sales and leadership an

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