Web Data Analyst; w​/d​/m

About us

Interhome Group (part of Home To Go  Group) makes vacation rentals easy for guests, owners, and partners. With 60+ years of experience and thousands of holiday homes across Europe, our Data & Analytics team is building a modern, scalable analytics environment on a cloud stack including Snowflake, dbt, Superset, Python, Snowplow, and Airbyte.

You'll help rebuild and modernize our web tracking framework on Snowplow — creating a clean, scalable, and trustworthy foundation for digital analytics across the group. Your focus is tracking: event taxonomy, schemas, standards, implementation quality, and data trust. It's an end-to-end role: you'll both build the data foundation and use it to generate insights, connecting web, product, campaign, and CRM data to understand acquisition, conversion, retention, and customer experience.

You'll collaborate closely with Data, Marketing, Product, and Engineering.

• Rebuild and modernize web tracking on Snowplow (event taxonomy, schemas, standards, tracking plans)
• Improve quality, consistency, and reliability across Snowplow, GA4, and GTM
• Translate business and product questions into clear tracking requirements
• Analyze user behavior, funnels, customer journeys, and campaign performance
• Contribute to dashboards, reporting pipelines, and self‑service BI
• Define and refine KPIs and metric definitions for cross-team consistency
• Use SQL and Python for deep dives (funnel, segmentation, attribution, forecasting, A/B testing)
• Support tracking QA, consent requirements, and privacy‑aware analytics
• Explore AI-assisted tools and automation to improve your work

• 2+ years as a Web/Digital Analyst or similar stakeholder‑facing role
• Hands‑on experience with GA4, GTM, event data, data Layer, customer journeys, and attribution
• Experience designing tracking plans, event schemas, or measurement concepts
• Strong SQL skills and experience with structured data models
• Strong analytical skills (funnel, cohort, segmentation, attribution, A/B testing)
• Ability to turn complex data into clear, actionable recommendations
• A collaborative, structured, curious mindset with a focus on data quality
• Excellent communication skills in English
• Openness to AI‑assisted analytics and coding workflows

Snowplow, dbt, Python, BI tools (Superset, Looker, Power BI, Tableau), server‑side tracking, Consent Mode/GDPR, German language skills.

Help shape the analytics foundation behind better business decisions at a leading European travel brand. Work with a modern cloud data stack, collaborate with experienced professionals across Interhome and Home To Go , and enjoy a flexible, hybrid culture with up to 30 workation days per year.