SeniorFull TimeENEurope
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.
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.
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.
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
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
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
💸 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
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.
If you want to build the data backbone of a fast-scaling manufacturing platform, we’d love to speak with you.
