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Senior/staff web analyst (m/f/x)

Hamburg
visable
Analyst
Inserat online seit: 10 März
Aufgaben der Stelle
We are looking for a visionary Senior/Staff Web Analyst to join our engineering and product organization as we transition to an "AI-First" data governance model. You will not just be analyzing data; you will be the architect of our entire data lifecycle—from defining tracking requirements to automated validation. You will partner closely with our engineering teams to build a bridge between raw user behavior and actionable business intelligence, leveraging AI-driven tools like MCPs (Model Context Protocol) to eliminate manual toil and ensure 100% data integrity across our Web and App platforms.

Forme mit uns die Zukunft des B2B

  • End-to-End Data Lifecycle Ownership:Lead the design and implementation of tracking strategies that cover the entire lifecycle: frominitialRequirements gathering to Generation, and finally to automated Validation.
  • AI-Native Automation:Architect and deploy automated pipelines that use AI agents to generate tracking Blueprints and validation scripts, significantly reducing manual engineering dependency.
  • Cross-Platform Observability:Establisha "Live Truth" monitoring framework that provides real-time visibility into tracking health across Web and App, ensuring <5-minute latency between deployment and validation.
  • Engineering Enablement:Act as an internal consultant for developers, providing AI-assisted tools and self-service platforms that allow engineering teams to implement and verify tracking with minimal friction.
  • Data Governance & Integrity:Implement "Anti-Corruption" release gates to prevent data drift, ensuring high-quality, audit-ready data for downstream business intelligence and reporting.
  • Was wir bieten

  • The opportunity to actively shape the future of the online B2B business and build an European champion
  • You can expect an established traditional company with the advantages of a dynamic start-up culture: flat hierarchies, relaxed, informal atmosphere and a great team spirit
  • An agile and supportive environment where success is always a team effort
  • Benefit from our fitness cooperation with Urban Sports Club and train flexibly in over 7,500 studios across Germany
  • Optimal work-life balance with 30 vacation days (plus Christmas Eve & New Year's Eve) and flexible working hours
  • We believe in the best of both worlds: flexibility and collaboration.
  • Thus, you'll enjoy the benefits of working from home while also experiencing the team spirit in our offices (approx. 50%)
  • We promote your professional and personal skills with individual training opportunities (e.g. Visable Online-Academy & Trainings), regular feedback discussions and team-building measures
  • Take advantage of our “Workation” offer and work where others spend their holiday
  • Damit beeindruckst Du uns

  • Expertisein Data Tracking:
    7+ years of experience in web and mobile app analytics (GA4,GTM, or similar), with deep knowledge of data layer architecture and tracking implementation best practices.
  • Technical Proficiency:
    Hands-on experience with SQL, JavaScript, and modern front-end frameworks (Nuxt/React); ability to read and understand code to debug tracking triggers.
  • AI & Automation Mindset:
    Passionate abou t"Vibe Coding" and AIagents; experience or high interest inutilizing tools like Cursor, Claude/LLMs,or MCPs to automate workflows.
  • Architectural Vision: Proven ability to move beyond manual reporting and build scalable, self-service infrastructure that improves developer productivity.
  • Stakeholder Management: Exceptional ability to communicate complex data requirements tobothnon-technical stakeholders (PMs) and technical engineering teams.

  • Bonus
  • AI-Engineering Experience:
    Experience building or fine-tuning RAG (Retrieval-Augmented Generation) systems or deploying custom AI agents to assist with operational workflows.
  • Testing Automation:
    Deep experience with E2E testing frameworks (e.g., Cypress,Playwright) and integrating them into CI/CD pipelines for data validation.
  • Contributions:
    Open-source contributions or active participation in the AI-agent or Data Engineering community.

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