Anzahl der Bewerber
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We are looking for a Senior Analytics Engineer (m/f/d) to own the growth analytics function at 1KOMMA5°. You will sit at the intersection of data engineering, marketing intelligence, and business strategy — building the systems and insights that power our sales and marketing engine across Europe.
You will join a small, high-impact data team and report directly to the Director of Growth Operations. This is a hands-on, highly visible role: you will own our marketing data models, drive the stability of our marketing tech stack, and partner closely with marketers, sales reps, data engineers, and business leaders to make data-driven decisions fast.
Own Marketing Data Modeling
Design, build, and maintain our core marketing data models — you know them by heart and can answer any question with data within minutes
Define a forward-looking vision for the marketing data stack and drive its development
Actively educate analysts, engineers, marketers, and other stakeholders on marketing data — how it works, what it means, and how to use it
Own the Marketing Tech Data Stack
Take full ownership of the stability of our marketing data pipelines — be the first to respond to incidents and drive resolution
Maintain deep expertise across our full marketing tech stack: ad platforms (Performance Max, Taboola/Outbrain, etc.), Airbyte ingestion, Zoho CRM, GTM, and web analytics
Partner with marketers to use data to automate and improve marketing processes
Drive Cross-Team Collaboration
Work across data analysts, data engineers, software engineers, and marketing teams — sharing knowledge and best practices from the Growth Analytics team
Integrate learnings from other teams back into your own work to continuously raise the bar
Lead and ship large cross-functional projects with clarity and alignment
Be a Role Model for Junior Talent
Mentor junior data analysts and engineers — making them meaningfully better through your guidance
Actively reduce your bus factor: document your work, teach what you know, and build automations that scale your impact beyond yourself
5–7 years of experience in analytics engineering, data engineering, or a related role - ideally in a high-growth or performance-marketing environment
Deep hands-on expertise with SQL (advanced query writing, optimization), BigQuery, and dbt or SQL Mesh
Strong command of web analytics and tracking infrastructure: GTM, GA4, or equivalent
Solid experience with marketing tech platforms - ad platforms, CRM systems (Zoho or similar), and data ingestion tools (Airbyte or similar)
Expert-level understanding of growth marketing unit economics: CPL, CAC, blended CPL, ROAS, LTV, and marketing attribution models
Proven ability to define, build, and communicate metrics to diverse stakeholders - from marketers to executives
Experience leading cross-functional data projects from definition through delivery
Fluency in English is required; German is a strong plus
Strong Plus
Experience with Looker or equivalent BI tools (PowerBI, Tableau)
Python skills for pipeline automation and data quality checks
Background in performance marketing or working embedded within a growth/marketing team
Terraform: understanding of Google Cloud platform & building scalable data pipelines
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