Senior Analytics Engineer (Growth)

1Komma5°; Berlin; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

1Komma5° is seeking a Senior Analytics Engineer in Berlin to lead growth analytics. You will work closely with marketing and data teams to build data systems that enhance decision-making across our sales and marketing operations in Europe.

Your role combines responsibility for data engineering, marketing intelligence, and business strategy. Candidates should have 5–7 years of experience in analytics or related roles and a solid understanding of growth marketing.

Qualifikationen

• 5–7 years of experience in analytics engineering, data engineering, or a related role.
• Deep hands-on expertise with SQL, BigQuery, and dbt or SQL Mesh.
• Expert-level understanding of growth marketing unit economics.

Aufgaben

• Own the growth analytics function, building systems and insights for sales and marketing.
• Design, build, and maintain core marketing data models.
• Lead large cross-functional projects ensuring clarity and alignment.

Kenntnisse

Analytics engineering

SQL

Web analytics

Marketing tech platforms

Growth marketing unit economics

Leadership in cross-functional projects

Fluency in English

Python

Tools

BigQuery

GTM

GA4

Looker

PowerBI

Jobbeschreibung

Requirements

• 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
• (Desirable) Experience with Looker or equivalent BI tools (PowerBI, Tableau)
• (Desirable) Python skills for pipeline automation and data quality checks
• (Desirable) Background in performance marketing or working embedded within a growth/marketing team
• (Desirable) Terraform: understanding of Google Cloud platform & building scalable data pipelines

What the job involves

• 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
• 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
• 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
• 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
• 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