Product Data Analyst

The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no‑code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder‑approved integrations, we’re changing the way people bring systems together and scale ideas for impact.

Since our founding in 2019, we’ve grown into a diverse team of over 260 – working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve cultivated a community of more than 650,000 active developers and builders, earned 190K+ Git Hub stars making us one of the world’s Top 40 most popular projects, and been backed by top investors, from Sequoia’s first German seed to SAP’s recent strategic investment, bringing us to a $5.2bn valuation.

That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out – whether you’re technical or not – and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us.

Join n8n as the dedicated data partner to a product team that's already hands‑on with data. Our PMs are technical and data‑literate. They write SQL, run their own analyses, and know their corner of the product deeply. What they're missing is a dedicated analyst counterpart – someone who takes the data work further than they have time for, brings the outside perspective they can’t get from inside their squad, and pairs with them on designing and improving the product.

That’s the role. You'll be embedded with a product squad as the PMs' dedicated data partner, working on deeper analyses, cross‑cutting views, and the questions that shape what gets built – with activation and adoption of n8n as your headline focus.

• Act as the PMs' data partner: take deeper and broader analyses beyond what they can do in a sprint.
• Handle analyses that they don't have time for, accelerate existing ones, and partner on the most important questions.
• Free PMs to focus on building product by owning the data work that supports it.
• Provide perspective they can't get themselves: cross‑product cuts, segment views, comparative analyses across the user base, challenge assumptions, and surface needed analyses.
• Help design and improve the product: co‑create hypotheses with PMs, test them, focus on activation and adoption, analyze retention drivers, cohort dynamics, and leading indicators of expansion, link feature‑level analyses to the bigger picture.
• Influence the roadmap with real POV: bring data‑backed opinions, push back constructively, translate complex analysis into recommendations.
• Raise rigor: bring statistical depth where needed, design trustworthy experiments, partner with engineering on event instrumentation.

• Senior product analytics experience: 5+ years analyzing product usage in B2B SaaS, ideally in a PLG environment.
• Partner mindset: thrive alongside technical, hands‑on PMs as a counterpart.
• Activation & adoption expertise: owned analysis behind onboarding funnels, time‑to‑value, feature adoption, behavioral signals distinguishing stuck users from successful ones.
• Depth over breadth: known for deeper behavioral segmentation, retention drivers, and properly measured feature impact.
• Applied statistics: spot biased metrics, under powered tests, confounders, and explain them clearly to stakeholders.
• High agency: act without tickets, pursue worth‑analyzing work, and bring clear recommendations.
• Solid experimentation skills: design and read A/B tests properly.
• Instrumentation fluency: defined event taxonomies and partnered with engineering on tracking specs.
• Technical toolkit: expert SQL, comfortable with Big Query, dbt, Metabase or equivalent.
• Clear communication: write memos that PMs read end‑to‑end and present findings that change decisions.

• Devtool / OSS / technical product experience.
• Python for analysis: pandas, stats models, scipy…