Senior Marketing Data Analyst

Senior Marketing Data Analyst at n8n

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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 160 people working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin.

• Cultivated a community of more than 650,000 active developers and builders
• Earned 145k+ Git Hub stars, making us one of the world’s Top 40 most popular projects
• Been ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)
• Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C – bringing us to a $2.5bn valuation
• And are grateful for our 94 eNPS score (most companies would call 70 excellent)

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.

Your main goal will be to bring rigor, insight, and actionability to n8n’s marketing data, helping us understand what works, identify funnel gaps, and guide data‑driven decisions that scale our growth.

• BUILD ROBUST MARKETING ANALYTICS FOUNDATIONS
  • Design, implement, and maintain end‑to‑end tracking and measurement for paid and organic campaigns.
  • Ensure accurate tagging, integrations, and data flows across platforms like You Tube, social, and website analytics.
  • Anticipate and solve data quality and measurement challenges before they impact insights.
• TURN DATA INTO INSIGHTS THAT DRIVE STRATEGY
  • Analyze top‑of‑funnel performance across channels to uncover gaps and opportunities.
  • Deliver actionable recommendations that shape budget allocation and campaign strategy.
  • Support Monthly Business Reviews with data‑backed insights that influence leadership decisions.
• ENABLE SCALABLE REPORTING AND DASHBOARDS
  • Build and maintain dashboards that make marketing performance easy to track and understand.
  • Partner with the Data and Website teams to ensure clean, consistent data pipelines.
  • Standardize metrics definitions and measurement frameworks across marketing functions.

• Marketing analytics expertise: 5+ years of experience in marketing analytics or campaign measurement in a B2B SaaS context, ideally PLG or developer‑focused.
• Technical skills: fluent in SQL and comfortable working with tools like dbt and Big Query to build scalable data models.
• Tracking and automation: know your way around marketing automation, tag management, and reporting tools, and can set up accurate, GDPR‑compliant tracking.
• Analytical mindset: proactive in identifying data issues, solving measurement challenges, and translating data into actionable insights.

• You Tube and brand campaign analytics: experience measuring the impact of You Tube ads and social or brand initiatives.
• Data privacy experience: familiar with GDPR‑compliant measurement setups and privacy‑first tracking practices.

• Competitive compensation – fair and attractive pay.
• Ownership – slice of equity.
• Work/life balance – Europe: 30 days of vacation plus public holidays; US: 15 vacation days, 8 sick days, plus public holidays.
• Health & wellness – Europe: benefits according to local country norms; US: multiple low‑premium, low‑deductible medical plans, HDHP with pre‑seeded HSA, dental and vision coverage.
• Future planning – Europe: pension contributions according to local country norms; US: 401(k) retirement plan with a 4% employer match.
• Financial security – Europe: benefits according to local country norms; US: company‑paid…