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π Tallinn or Tartu, Estonia
Part analyst, part engineer, part data scientist β 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 β in minutes, not days.
As we scale, data isn't a support function β 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 β 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 β you'll build the data models, tooling, and automation that make better decisions possible.
π What You'll Work On
Insights That Move the BusinessThis is the core of the role. You'll tackle complex business questions head-on:
- Pricing & margin intelligence β 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 β Identify what drives conversion, retention, and expansion across different customer segments and regions.
- Operational performance β Surface bottlenecks and improvement opportunities across connected manufacturing processes.
- Product analytics β Partner with different departments to measure feature impact, define success metrics, and run experiments.
- You won't just build dashboards β you'll frame the questions, dig into the data, and present recommendations that lead to action.
- 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 β version control, testing, documentation
- 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 β including machine learning β to optimise workflows
- Are curious about business problems, not just data problems β 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 β 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 β our team is small and everyone chips in
π Equity options
πββοΈ Stebby β¬100/quarter wellness benefit
π₯ Private health insurance via Confido (coverage up to β¬10,350/year)
π International team with real product impact
π§ 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
π¬ Ready to Apply?If you want to build the data backbone of a fast-scaling manufacturing platform, weβd love to speak with you.
Key Skills
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