Senior Product Analyst

We’re Hiring: Senior Product Analyst 📍 Tallinn or Tartu, Estonia Part analyst, part engineer, part data scientist — you'll shape how a manufacturing platform makes decisions. Fractory is transforming how manufacturing works. We've built an automated on-demand manufacturing platform that connects engineers and manufacturers across Europe. Customers upload drawings, receive instant quotes, and order parts online — in minutes, not days. As we scale, data isn't a support function — it drives pricing, product, and growth. We're looking for a Senior Product Analyst to turn complex manufacturing data into insights that shape pricing, product, and growth decisions. You'll sit at the intersection of product, sales, and executive leadership — the person teams come to when they need to understand why something is happening and what to do about it . You won't just analyse — you'll build the data models, tooling, and automation that make better decisions possible. 🚀 What You'll Work On Insights That Move the Business This is the core of the role. You'll tackle complex business questions head-on: Pricing & margin intelligence — Build models that optimise pricing for volume manufacturing and order aggregation. Understand the levers that drive margin across thousands of unique parts and manufacturing processes. Customer behaviour analysis — Identify what drives conversion, retention, and expansion across different customer segments and regions. Operational performance — Surface bottlenecks and improvement opportunities across connected manufacturing processes. Product analytics — Partner with different departments to measure feature impact, define success metrics, and run experiments. You won't just build dashboards — you'll frame the questions, dig into the data, and present recommendations that lead to action. Data Modelling & Quality Our analytics stack runs on BigQuery and dbt. You'll maintain and extend our data models to keep the foundation solid as the business evolves: Evolve dbt models as new data sources and business logic emerge Ensure data quality and consistency across BigQuery, Salesforce, and internal systems Integrate and transform multi-source datasets Apply engineering best practices — version control, testing, documentation Automation & Self-Service Replace manual, error-prone workflows with smarter alternatives: Automated reporting, alerting, and pipelines Self-service data tools that empower non-technical teams AI-assisted analytics workflows (we're actively building these) Introduce novel methods — including machine learning — to optimise workflows 🎯 You'll Thrive Here If You Are curious about business problems, not just data problems — you naturally ask "why is this happening?" before jumping to "how do I query this?" Like proposing analyses and solutions on your own, not waiting for someone to write you a brief Communicate findings in a way that non-technical stakeholders actually act upon — not just understand Are comfortable being the go-to data person for multiple teams at once Want ownership and real impact over ticket-based execution Don't mind getting your hands dirty with data modelling and infrastructure when needed — our team is small and everyone chips in 💼 What You Get 💸 Competitive salary 📈 Equity options 💆‍♂️ Stebby €100/quarter wellness benefit 🏥 Private health insurance via Confido (coverage up to €10,350/year) 🌍 International team with real product impact 🧭 Hiring Process 30-min intro call with our Head of People 1-hr deep dive video call with Tiit (Data Scientist & team lead) and Rein (CTO/CO-Founder) Office meet-up, live assignment and team meet up Final 30min call with leadership We aim to keep the full process smooth and respectful of your time — expect 2–3 weeks from first chat to offer. 📬 Ready to Apply? If you want to build the data backbone of a fast-scaling manufacturing platform, we’d love to speak with you.