Product Data Analyst

Requirements

Must-haves

• 📊 Senior product analytics chops: 5+ years analyzing product usage in B2B SaaS, ideally in a PLG environment.
• 🤝 Partner mindset: You thrive working alongside technical, hands-on PMs as a counterpart — making them better and being made better by them.
• 🚀 Activation & adoption expertise: You've owned the analysis behind onboarding funnels, time-to-value, feature adoption, and the behavioral signals that separate stuck users from successful ones.
• 🔎 Depth, not just breadth: You're known for going deeper than the obvious — behavioral segmentation, retention drivers, feature impact done properly.
• 🤓 Real applied statistics: Not "I took a stats class" — you can spot a biased metric, an underpowered test, or a confounder, and explain it clearly to a non-technical stakeholder.
• 🧭 Opinionated and high-agency: You don't wait for tickets. You see what's worth analyzing, you do it, and you bring a clear recommendation — even when the team didn't ask.
• 🧪 Solid experimentation skills: You can design and read A/B tests properly. It's one tool in your kit, not the only one.
• 🔧 Instrumentation fluency: You've defined event taxonomies and partnered with engineering on tracking specs.
• 💻 Technical toolkit: Expert SQL; comfort with modern stack (BigQuery, dbt, Metabase or equivalent).
• 🗣️ Communication that lands: You write memos PMs read end-to-end and present findings that change decisions.

Nice-to-haves

• 👾 Devtool / OSS / technical product experience: You get how technical audiences adopt and use products.
• 🐍 Python for analysis: pandas, statsmodels, scipy when SQL isn't enough.
• 🔗 Causal inference: For the questions A/B testing can't answer.
• 🧮 Experimentation platforms: GrowthBook, Statsig, Eppo, or similar.

Why join us?At n8n, your work won't disappear into a slide deck. You'll pair with a technical, data-literate product team that already does its own analysis and genuinely values having a real analyst counterpart. You'll be embedded, trusted, and in the room where decisions get made — owning the questions that matter most for a fast-growing PLG product: how users activate, what drives adoption, and what keeps them coming back. You'll join a small, sharp data team with strong foundations already in place, inside one of Europe's fastest-growing open-source companies, at a moment where what we ship matters a lot.

Sound like a challenge you're ready to take on?

Apply now - and help us build the future of automation.

n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.

We can sponsor visas to Germany; for any other country, you need to have existing right to work.