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

1. 30-min intro call with our Head of People

2. 1-hr deep dive video call with Tiit (Data Scientist & team lead) and Rein (CTO/CO-Founder)

3. Office meet-up, live assignment and team meet up

4. 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.